AI Creative & Design Jobs

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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Our 2026 Co-Op program is an excellent opportunity for rising 2026 graduates to gain deep, hands-on experience in a mission-driven and innovative engineering environment. This paid, full-time program spans multiple months during the academic year, offering extended immersion in real-world hardware development and testing. The co-op will directly contribute to hardware development that reaches customers and is deployed in the field. Their primary focus will be designing and executing a test plan to characterize and integrate RF sensor systems under the guidance of a senior engineer. Depending on interests and project needs, the intern may also explore areas such as antenna design, radio/GPS testing, signal integrity, or analog filter design. The ideal start date is January 2026, and the end date is flexible.What you'll do:Design an RF sensor system evaluation and test plan to characterize RF performance.Participate in RF system debug, troubleshooting, and root-cause analysis; assist in part selection and design contributions.Project Deliverables:A complete RF system characterization plan document capturing test methodology, findings, and recommendations.A final test report demonstrating characterization of the RF sensor system on V-BAT.How This Supports the Intern’s Career Path:Offers exposure to real-world engineering design challenges and constraints.Builds confidence in applying classroom knowledge to practical RF/electrical engineering problems with mentorship.Required qualifications:Hands-on experience with oscilloscopes, spectrum analyzers, and other standard electrical lab equipment.Strong math and analytical background.Detail-oriented approach to testing and documentation.Programming/scripting with Python or MATLAB for data analysis and automation.Prior exposure to RF circuits (filters, antennas, impedance matching).Must be a rising senior, rising master’s or PhD graduate, preparing to graduate Spring 2026Pursuing a degree in electrical engineering or equivalentStrong understanding of electrical fundamentals.A demonstrated history of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.Have a passion for solving tough problems on a fast-paced team. 40 - 56Rising Bachelor's graduate = $40/hourRising Master's graduate = $45/hourRising PhD graduate = $56/hour+ Housing stipend provided for those who qualify. This role may also be eligible for certain benefits like PTO, 401k, healthcare, etc.#intern Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.The NiCE Public Safety & Justice business helps all types of public safety and criminal justice agencies, from emergency communications and police to prosecutors and courts, digitally transform how they manage digital evidence and data from beginning to end, to get to the truth faster. NiCE’s Evidencentral platform features an ecosystem of integrated technologies that bring data together to give a single view of the truth, enabling public safety and justice agencies to do what they do better – whether it’s responding to incidents, investigating, and building cases, or prosecuting crimes.  So, what’s the role all about? A NiCE Public Safety Account Executive's primary objective is to successfully win new business by positioning NiCE and its solution portfolio with prospects and partners within the Public Safety sector, specifically with Police Agencies, District Attorneys/Prosecutors, Public Defenders, Courts and State Prisons. This position covers Florida and the Carolinas. This person will work with the various functions within the company such as: Account Executives on the 911 side of Public Safety business, Solutions Engineering, Business Development, Project Management, Legal, Marketing, Professional Services, Customer Success and Customer Support. This Account Executive will also work with various premier partners outside of our organization in order to gain appointments with prospects to win new business. How will you make an impact?  Achieve assigned sales quota(s) by: (a) selling directly to assigned prospect account targets and (b) supporting the sales efforts of in-territory Partner channels Formulate sales tactics and strategies resulting in market share growth Execute on prospecting/lead generation/cold calling/networking to uncover new sales opportunities Adhere to pre-defined sales process. Ensure opportunities in Salesforce are kept current and align to sales process Achieve weekly sales call activity standards enough to develop a strong pipeline Consistently translate weekly activity into a process of creating sales pipeline that supports the achievement of assigned sales quota(s) Manage and develop existing partner relationship channels Continually learn market needs and future trends in the Public Safety sector Develop and deliver compelling presentations to end users, partners and consultants Work with Sales Engineering team to ensure solution configurations are designed correctly and will maximize the customer’s investment Sell NiCE value, differentiating between NiCE and its competitors when presenting value proposition to potential and existing customers Maintain existing customer relationships with the goal of maximizing revenues long term through relationship building, use them as strong referral sources Have you got what it takes? At least 5 years’ experience selling into Government verticals and/or into the overall Public Safety/Security industry Proven track record of success in working with Business Partners, Systems Integrators and end users Experience in working with government Purchasing personnel related to RFP/Bid responses and state and/or federal contracts Documented history of attaining or exceeding sales quotas Proven consultative selling style with experience in proposal preparation Strong technical knowledge Excellent communication and presentation skills Proven creative problem solving skills Strong desire to win and close business Experience working with and influencing high end decision makers Travel requirement will be 30-50% per month within assigned territory You will have an advantage if you also have: Experience/knowledge of CCaaS, CX, and Conversational AI solutions. Experience/knowledge selling a full suite of SaaS products.  Minimum of 1-2 years selling AI Software Solutions Strong understanding of AI technology & its applications What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Requisition ID: 8017 Reporting into: RVP Public Safety Role Type: Individual ContributorAbout NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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Who are Heidi?Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care.We exist to double healthcare’s capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages.Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare.Backed by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada, and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health, among others.We move quickly where it matters and stay grounded in what’s proven, shaping healthcare’s next era. Ready for the challenge?The RoleWe’re looking for a qualified doctor or clinician with AI/ML expertise to join our Medical Knowledge (MK) team as a Medical AI Specialist. You’ll bring your clinical expertise as well as technical expertise in software, AI, and machine learning into a fast-paced, hyper-growth startup environment. In this role you’ll:Help shape our AI products by infusing medical insights with deep technical knowledgeCollaborate across teams to turn clinician needs into reliable, high-impact AI featuresWhat you’ll do:Own the clinical integrity of Heidi: advise clinicians, troubleshoot edge cases, and validate outputsPartner with product, engineering and design teams to engineer prompts, build agentic AI, create model evaluation frameworks, and fine-tune models.Build cutting-edge AI features within Heidi using the latest tools and frameworksPlan and collaborate on research studies that prove our AI scribe’s clinical accuracy and user impactAdvise leadership on clinical quality and product roadmap prioritiesMentor colleagues and help build a culture of clinical excellence and collaborationWhat we will look for:Clinician with AI product experience Previous hands-on experience building scalable AI products or features for healthcare settingsLLM & foundation-model expertise Deep experience with large language models and provider APIs (OpenAI, Claude, Gemini), building LLM-powered healthcare products and featuresPrompt engineering & safety Proven track record crafting, iterating, and testing prompts; mitigating bias and hallucinations; embedding clinical safety guardrailsCross-functional collaboration Translate clinical needs into technical specs, partner closely with engineering and product teams, and embed quality controls for clinician trustPerformance optimization Optimise AI features for accuracy, latency, scalability, and cost (“fast, safe, cheap”)RAG pipelines & evaluation Build and maintain retrieval-augmented generation pipelines and automated evaluation workflows (traditional ML metrics, LLM-as-judge, A/B tests, clinician feedback loops)AI agent design & fine-tuning Design, build, and orchestrate multi-step AI agents; fine-tune or adapt models on medical datasetsSemantic search & vector DBs Hands-on experience with embeddings, vector databases, and agent frameworks like LangChainSoftware engineering & ML fundamentals: Fundamental understanding of Python, JavaScript, SQL; experience with cloud platforms and ML frameworksWhat do we believe in?We create unconventional solutions to difficult problems and we build them fast. We want you to set impossible goals and make them happen, think landing a rocket but the medical version.You'll be surrounded by a world-class team of engineers, medicos and designers to do your best work, inspired by our shared beliefs:We will stop at nothing to improve patient care across the world.We design user experiences for joy and ship them fast.We make decisions in a flat hierarchy that prioritises the truth over rank.We provide the resources for people to succeed and give them the freedom to do it.Why you will flourish with us 🚀?Flexible hybrid working environment, with 3 days in the office.Additional paid day off for your birthdaySpecial corporate rates at Anytime Fitness in Melbourne, Sydney tbc.A generous personal development budget of $500 per annumLearn from some of the best engineers and creatives, joining a diverse teamBecome an owner, with shares (equity) in the company, if Heidi wins, we all winThe rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startupsIf you have an impact quickly, the opportunity to fast track your startup career!Help us reimagine and change the face of healthcare around the world.

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Open to overseas candidates/Visa Support This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan. The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you'll measure ads incrementality on different type of traffic, creative, users, and also improve campaign efficiency on combination having good incrementality by machine learning model and AI automation. What You’ll Work On Leverage scientific methods to improve ads measurement. Drive online experiments to continuously improve ads effectiveness. Own the project independently. Partner with product stakeholder, backend and frontend to provide measurement solution for our customers. What We’re Looking For Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, Econometrics, or related field. 3+ years of industry experience on causal inference, incrementality, marketing mix modeling or other measurement solutions on digital Ads related fields, and understand the assumption and difference across methods. Proficiency in Python and SQL experience with modern ML frameworks (PyTorch, TensorFlow, etc.). Strong ownership and collaboration skills. Language Fluent in English or Chinese. #LI-AK1  

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About the Role: Would you like to participate in creating the fastest Generative Models inference in the world? Join the Cerebras Inference Team to participate in development of unique Software and Hardware combination that sports best inference characteristics in the market while running largest models available.  Cerebras wafer scale inference platform allows running Generative models with unprecedented speed thanks to unique hardware architecture that provides fastest access to local memory, ultra-fast interconnect and huge amount of available compute.  You will be part of the team that works with latest open and closed generative AI models to optimize for the Cerebras inference platform. Your responsibilities will include working on model representation, optimization and compilation stack to produce the best results on Cerebras current and future platforms.    Responsibilities:  Analysis of new models from generative AI field and understanding of impacts on compilation stack  Develop and maintain the frontend compiler infrastructure that ingests PyTorch models and produces an intermediate representation (IR).  Extend and optimize PyTorch FX / TorchScript / TorchDynamo-based tooling for graph capture, transformation, and analysis. Work with ML and compiler teams to ensure fidelity and performance parity with native PyTorch. Collaboration with other teams throughout feature implementation  Research on new methods for model optimization to improve Cerebras inference   Qualifications:  Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability  Strong Python programming skills and in-depth experience with PyTorch internals (e.g., TorchScript, FX, or Dynamo). Solid understanding of computational graphs, tensor operations, and model tracing. Experience building or extending compilers, interpreters, or ML graph optimization frameworks. Familiarity with C++ extensions, LLVM, MLIR, or other IR-based compiler infrastructures. Experience working with PyTorch and HuggingFace Transformers library Knowledge and experience working with Large Language Models (understanding Transformer architecture variations, generation cycle, etc.)  Knowledge of MLIR based compilation stack is a plus Preferred Qualifications Prior experience contributing to PyTorch, TensorFlow XLA, TVM, ONNX, or similar compiler stacks. Knowledge of hardware accelerators, quantization, or runtime scheduling. Experience with multi-target inference compilation (e.g., CPU, GPU, custom ASICs). Understanding of numerical precision trade-offs and operator lowering. Contributions to open-source ML compiler projects.    Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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About the Role We are seeking a highly motivated Creative Technologist to join our Applied Research team, reporting to the Head of Applied Research. The successful candidate will focus on advancing generative media research, with a primary emphasis on image models, while also contributing across video, audio, and 3D modalities. In addition to core research, this role will work directly with customers, alongside our Revenue and Sales teams, to design, fine-tune, and deploy custom models, workflows, and creative assets tailored to industries such as E-commerce, VFX, and other visual media. This is a hands-on position at the intersection of cutting-edge research and real-world application. Responsibilities Collaborate with the Applied Research team to develop state-of-the-art generative media solutions, with a strong emphasis on image models. Fine-tune and extend UNet and DiT architectures for generative tasks across multiple modalities (image, video, audio, 3D). Work directly with customers to research, design, and deliver customized models, workflows, and creative assets for applications in E-commerce, VFX, and other visual media sectors. Implement and adapt novel techniques from research papers and repositories into practical, high-quality code. Curate, preprocess, and design high-quality datasets for training and fine-tuning. Collaborate cross-functionally with Product, Engineering, and Commercial teams to ensure smooth integration of models into customer workflows. Stay at the cutting edge of generative modeling research, incorporating advancements into both internal pipelines and customer-facing solutions. Evaluate, benchmark, and optimize models for quality, diversity, and efficiency in generative media applications. Qualifications Proven experience with image models; knowledge of video, audio, or 3D generative models is a strong plus. Strong experience fine-tuning UNet and DiT architectures for generative tasks. Proficiency in Python, with the ability to implement and customize code from research repositories. Solid understanding of machine learning concepts (formal ML background preferred but not required). Experience with Linux, CUDA, and PyTorch in a research or production setting. Demonstrated ability to create customer-specific generative solutions and workflows. Experience managing fine-tuning processes to improve model quality and diversity. Portfolio, GitHub, or prior work showcasing generative media or applied ML research, particularly in E-commerce, VFX, or other visual media contexts, is highly desirable. Equal Employment Opportunity We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

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About UsConsole is an AI platform that automates IT and internal support. We help companies scale without scaling headcount, and give employees instant resolution to their issues. Our agents understand the full context of the organization, handle requests end-to-end and pull in humans only when necessary.Today, companies like Ramp, Scale, Webflow, and Flock Safety rely on Console to automate over half of their IT & HR requests. We've won every bake-off against our competitors, closed every trial customer and expect to 10x usage by year-end.We're a small, talent-dense team: naturally curious, high-agency and low-ego. Our organization is very flat and ideas win on merit, not hierarchy. We're hiring exceptional people to keep up with demand. We're backed by Thrive Capital and world-class angels.About the roleAs a founding Security Engineer at Console, you'll own, design, and implement the roadmap for our evolving security posture across both infrastructure and application security. You'll work directly with the CTO to align on our commitments to customers and ensure that our platform remains secure and compliant.Some examples of work you might do:Build the threat model that informs our security roadmap for the next yearDesign and deploy foundational security controls across corporate infrastructure (EDR, FIDO2 authentication, VPN) and application security (secure SDLC, vulnerability management)Oversee our compliance efforts (SOC 2, HIPAA, ISO 27001) and coordinate with external auditors and consultantsEvaluate, select, and implement security tooling that balances sophistication with operational efficiencyYou'll have broad license to own the security and compliance efforts at Console, with room to grow into a leadership position as the team scales.This role is based in San Francisco, CA. We work in-person and offer relocation assistance to new employees.About youYou have hands-on experience building security programs from the ground up, ideally in fast-growing startups or cloud-native environmentsYou understand both infrastructure security (identity & access management, network security, endpoint protection) and application security (threat modeling, secure development practices, vulnerability management)You've worked with compliance frameworks like SOC 2, HIPAA, or ISO 27001 and can translate requirements into practical implementationYou're comfortable both building security tooling yourself and orchestrating third-party solutions, and you know when to build vs. buyYou care about enabling the business and empowering engineers, not just saying "no"Requirements5+ years of full-time experience in security engineering, platform security, or infrastructure security rolesDeep experience with cloud security in AWS and/or GCP, including IaC tools like Terraform or PulumiPassionate about building pragmatic, risk-based security programs that scale with the businessWhy join Console?Product-market fit: We have built the leading product in our category, in a massive market. We've hit an inflection point and are on track to build a generational company. World-class team: We seek high agency contributors who are comfortable navigating ambiguity, ruthlessly prioritize what matters and are action-biased.Grow with us: We reward impact, not credentials or years of experience. We intend to grow talent from within as we scale up.Competitive pay and benefits: top compensation with full benefits including:Equity with early exercise & QSBS eligibilityComprehensive health, dental, and vision insuranceUnlimited PTO401(k)Meals provided daily in office

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Biology, you’ll have the opportunity to collaborate on these projects.Although every project is unique, you might typically:Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge.How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Bachelor's, Master’s or PhD Degree in Biology and/or in relevant area. You have at least 3 years of professional experience with the focus in one of the following fields: Cell Biology, Molecular Biology, Genetics & Genomics, Physiology, Ecology, Evolutionary Biology, Microbiology, Immunology, Biochemistry, Developmental Biology, Biotechnology, Bioinformatics & Computational Biology, Biomedical Sciences, Agricultural & Plant Biology, Marine Biology, Environmental Biology, Neuroscience, Synthetic Biology, Systems Biology, Structural Biology, Evolutionary Developmental Biology (Evo-Devo), Quantitative Biology.Your level of English is advanced (C1) or above. Proficiency in Python, with experience using libraries such as NumPy, SciPy, and Pandas. Strong ability to design creative and diverse problems, particularly those that are computationally intensive and go beyond simple parameter modifications. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $10/hour depending on your skills, experience, and project needs.Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Biology, you’ll have the opportunity to collaborate on these projects.Although every project is unique, you might typically:Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge.How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Bachelor's, Master’s or PhD Degree in Biology and/or in relevant area. You have at least 3 years of professional experience with the focus in one of the following fields: Cell Biology, Molecular Biology, Genetics & Genomics, Physiology, Ecology, Evolutionary Biology, Microbiology, Immunology, Biochemistry, Developmental Biology, Biotechnology, Bioinformatics & Computational Biology, Biomedical Sciences, Agricultural & Plant Biology, Marine Biology, Environmental Biology, Neuroscience, Synthetic Biology, Systems Biology, Structural Biology, Evolutionary Developmental Biology (Evo-Devo), Quantitative Biology.Your level of English is advanced (C1) or above. Proficiency in Python, with experience using libraries such as NumPy, SciPy, and Pandas. Strong ability to design creative and diverse problems, particularly those that are computationally intensive and go beyond simple parameter modifications. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $10/hour depending on your skills, experience, and project needs.Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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About the Team OpenAI's Human Data Team creates custom data solutions driving groundbreaking research. Our work enhances and evaluates our flagship models and products like ChatGPT, GPT-4, and Sora, and contributes to safety initiatives through collaboration with our Preparedness and Safety Systems teams.About the RoleAs a Technical Program Manager (TPM) in the Human Data team you will partner with research and engineering to design and implement pragmatic solutions for collecting high-quality data. You will be a key interface between our research roadmap, external vendors, AI trainers, and the Human Data engineering team.This role is based in our San Francisco HQ and will report to the Head of Human Data Operations. We offer relocation support to new employees.In this role, you will:Collaborate with Research: Partner with researchers to scope data collection needs, define success metrics, and establish quality measurement frameworks.Design & Execute Data Collection Campaigns: Translate research needs into actionable plans and accelerate execution by leveraging existing tooling and iterating to reach the desired outcome. In many cases, you will need to implement scrappy new solutions while partnering with engineering to design robust/scalable solutions. Unblock Yourself: You must be deeply uncomfortable with the idea of sitting around waiting for external dependencies, and have the technical acumen and drive to figure out how to achieve at least partial success in the interimOptimize Systems & Processes: Build and optimize dashboards to track campaign performance, leveraging SQL and Python for data analysis and actionable insights. Drive Technical Roadmaps: Collaborate with engineers to enhance data platforms, resolve blockers, and ensure security best practices such as access managementScale Your Impact: Advise and empower program managers and vendors to drive day-to-day execution so that you can focus on addressing high priority opportunities.You’ll thrive in this role if you:Proficient in SQL and Python for data analysis, including querying databases, processing large datasets, and generating actionable insightsProficient in Python for interacting with various tools via APIs, including sending requests, processing responses, and integrating functionalities into workflowsProficient in SQL for creating analytics dashboards, including writing complex queries, optimizing data retrieval, and visualizing insights for decision-makingA strong understanding of how LLMs work and of prompt engineeringAre excited to understand the technicalities of cutting edge AI research and work alongside researchers from instantiation to launchEnjoy being part of an ambitious and technically-minded team Have experience working at large scale across a portfolio of projectsWant to get your hands dirty; grit and creative problem solving will be required dailyHave an action-oriented and deeply curious mindLearn technical concepts exceptionally quickly, seeking out knowledge to become proficient in areas that are new to youOperate with high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritizationThrive in dynamic environments and can navigate ambiguity with easeAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Who are Heidi?Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care.We exist to double healthcare’s capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages.Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare.Backed by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada, and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health, among others.We move quickly where it matters and stay grounded in what’s proven, shaping healthcare’s next era. Ready for the challenge?The RoleYou will operate as a Staff+ AI scientist/engineer on the Orchestration team. You will own the design and delivery of a clinician‑grade retrieval and question‑answering stack across data ingestion, indexing, ranking, grounding, and safe deployment. You will set technical direction, establish quality bars, and lead cross‑functional execution with engineering, product, and clinical experts. You will move between research and production, turning prototypes into reliable services with clear SLAs, traceable outputs, and unit/acceptance metrics that matter in clinical contexts.What you’ll do:Define the end‑to‑end architecture for literature and guideline ingestion, normalization, metadata extraction, de‑duplication, and versioning. Build hybrid search and retrieval: lexical + vector + re‑ranking, with tight latency budgets and cost controls. Design grounding and answer synthesis that cite sources, preserve provenance, and expose confidence and abstention. Lead model work across prompting, fine‑tuning, distillation, and tool use to improve faithfulness, coverage, and utility. Stand up gold‑standard evaluation: offline IR metrics (nDCG, MAP, recall), factuality/faithfulness audits, and human review with adjudication. Run online experiments at scale. Define guardrails, KPIs, and ship A/Bs to measure impact on clinician workflows. Productionize services with observability, tracing, canaries, rollbacks, and incident playbooks. Set data governance for medical content: access control, PHI handling, audit logs, and retention policies. Partner with clinicians to define intents, schemas, and acceptance criteria. Convert ambiguous questions into testable specs. Coach engineers and scientists. Raise the technical bar through design docs, reviews, and reusable components.What we will look for:Staff‑level track record shipping search, NLP, or LLM systems that serve real users at scale. Mastery of Python and SQL. Strong software engineering fundamentals, testing strategy, and API/service design. Depth in modern IR/NLP: embeddings, ANN indexes, re‑rankers, retrieval‑augmented generation, and prompt/program synthesis. Experience building data pipelines: parsing PDFs/HTML, OCR when needed, metadata extraction, and content hashing/versioning. Familiarity with PyTorch, plus distributed training/inference patterns. MLOps and reliability: containers, Kubernetes, feature/model registries, experiment tracking, monitoring, and alerting. Evidence of rigorous evaluation design: offline metrics, human‑in‑the‑loop judging, power analysis for online tests. Clear thinking on safety: hallucination controls, calibration, abstention, red‑teaming, and privacy/security by design. Ability to lead cross‑functional initiatives and make crisp decisions with incomplete information.Bonus:Search relevance expertise for long‑form, citation‑heavy domains. Knowledge of biomedical ontologies and standards (e.g., SNOMED CT, UMLS, ICD, RxNorm, FHIR). Prior work with literature and guideline corpora, de‑duplication, and document lineage tracking. Experience with hybrid retrieval stacks (e.g., BM25 + ANN) and learned re‑rankers. Familiarity with clinical evaluation methods, EBM hierarchies, and annotation workflows. Strong cost‑performance tuning for LLM inference, caching, and batching in production.What do we believe in?We create unconventional solutions to difficult problems and we build them fast. We want you to set impossible goals and make them happen, think landing a rocket but the medical version.You'll be surrounded by a world-class team of engineers, medicos and designers to do your best work, inspired by our shared beliefs:We will stop at nothing to improve patient care across the world.We design user experiences for joy and ship them fast.We make decisions in a flat hierarchy that prioritizes the truth over rank.We provide the resources for people to succeed and give them the freedom to do it.Why you will flourish with us 🚀?Flexible hybrid working environment, with 3 days in the office.Additional paid day off for your birthday and wellness daysSpecial corporate rates at Anytime Fitness in Melbourne, Sydney tbc.A generous personal development budget of $500 per annumLearn from some of the best engineers and creatives, joining a diverse teamBecome an owner, with shares (equity) in the company, if Heidi wins, we all winThe rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startupsIf you have an impact quickly, the opportunity to fast track your startup career!Help us reimagine primary care and change the face of healthcare in Australia and then around the world.

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Who are Heidi?Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care.We exist to double healthcare’s capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages.Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare.Backed by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada, and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health, among others.We move quickly where it matters and stay grounded in what’s proven, shaping healthcare’s next era. Ready for the challenge?The RoleWorking closely with the respective Engineering Manager, you’ll be a Senior/Intermediate Software Engineer who designs and scales the services that power our AI-driven productsWhat you’ll do:Architect and build backend services that power LLM-based agents and clinical automations. Design robust APIs & data models that are secure, observable and easy for other teams to extend. Optimise performance and cost—profile hot paths, tune databases and right-size cloud resources. Automate quality: write unit / integration tests, craft alerts and own on-call runbooks so clinicians can trust every interaction. Partner with product, design and other engineers to ship new capabilities from concept to production in weeks, not quarters.What we will look for:Mastery of software-engineering fundamentals; Python is our primary language, but you move fluently between technologies when the problem demands. Deep database expertise—schema design, query optimisation and scaling for both relational and NoSQL stores. Cloud fluency (GCP or AWS): containers, CI/CD, infrastructure-as-code, security and observability. Track record of shipping and operating systems at scale with high reliability. Rigorous testing, code-review and documentation habits that elevate team standards. Bonus points: hands-on work with AI/LLM services or real-time audio/streaming pipelines.What do we believe in?We create unconventional solutions to difficult problems and we build them fast. We want you to set impossible goals and make them happen, think landing a rocket but the medical version.You'll be surrounded by a world-class team of engineers, medicos and designers to do your best work, inspired by our shared beliefs:We will stop at nothing to improve patient care across the world.We design user experiences for joy and ship them fast.We make decisions in a flat hierarchy that prioritizes the truth over rank.We provide the resources for people to succeed and give them the freedom to do it.Why you will flourish with us 🚀?Flexible hybrid working environment, with 3 days in the office.Additional paid day off for your birthday and wellness daysSpecial corporate rates at Anytime Fitness in Melbourne, Sydney tbc.A generous personal development budget of $500 per annumLearn from some of the best engineers and creatives, joining a diverse teamBecome an owner, with shares (equity) in the company, if Heidi wins, we all winThe rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startupsIf you have an impact quickly, the opportunity to fast track your startup career!Help us reimagine primary care and change the face of healthcare in Australia and then around the world.

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Who are Heidi?Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care.We exist to double healthcare’s capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages.Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare.Backed by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada, and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health, among others.We move quickly where it matters and stay grounded in what’s proven, shaping healthcare’s next era. Ready for the challenge?The RoleAs a Data Scientist (AI) on Heidi’s Model Team, you’ll sit at the intersection of AI engineering and data science. In the short term, you’ll partner closely with our AI Engineering team to strengthen the foundations of our data pipelines, analytics, experimentation frameworks, and reporting systems. Over time, this role will evolve into a hands-on contributor in AI/LLM model work—spanning fine-tuning, deployment, personalization, and applied research.This is a unique opportunity for someone who is currently a Data Scientist in Australia or New Zealand, who feels limited by purely analytical challenges and wants to transition into a more technically demanding role that blends engineering rigor with cutting-edge AI innovation. You’ll grow with the team, expanding from data-centric responsibilities into world-class applied AI science.What you’ll do:Experimentation: Collaborate with engineers and product teams to design, implement, and analyze online A/B tests to measure product impact.Analytics & Reporting: Design dashboards, run analyses, and provide clear reporting to inform product and research decisions.Model Fine-Tuning: Gain hands-on experience with large language models by applying fine-tuning techniques (e.g., supervised fine-tuning, parameter-efficient methods) to improve model performance in healthcare-specific tasks.Model Deployment: Support the engineering team in deploying models into production environments, ensuring scalability, reliability, and integration with our clinical workflows.Model Personalisation: Explore approaches for adapting models to specific user needs, such as personalization, domain adaptation, and context-aware inference to enhance clinician productivity and patient care.Collaboration: Partner with data, engineering, product, and medical knowledge teams to align data and model work with Heidi’s mission in healthcare AI.Continuous Learning: Stay up-to-date with emerging AI and ML research, and grow your expertise from data-focused tasks to advanced model science.What we will look for:A background as a Data Scientist (or similar role) with strong skills in Python, SQL, and modern data tooling.Demonstrated experience in data analysis, experimentation (A/B testing), and building dashboards or reporting systems.Solid programming and software engineering skills: ability to write clean, efficient, and maintainable code that can scale into production systems.Good understanding of large language models (LLMs) and transformer architectures—you know how they work under the hood and are motivated to deepen this knowledge further.An interest and motivation to deepen technical expertise in AI/ML—particularly in areas like model fine-tuning, deployment, and personalization.A solid foundation in statistics, probability, and data-driven decision-making.Strong problem-solving skills with the ability to move from vague questions to well-structured experiments and insights.Curiosity, adaptability, and a growth mindset: you’re eager to bridge the gap between data science and AI engineering.Bonus:Experience with machine learning workflows (e.g., training or evaluating models, working with ML pipelines).Familiarity with deep learning frameworks (PyTorch or TensorFlow).Prior exposure to healthcare data or applications.What do we believe in?We create unconventional solutions to difficult problems and we build them fast. We want you to set impossible goals and make them happen, think landing a rocket but the medical version.You'll be surrounded by a world-class team of engineers, medicos and designers to do your best work, inspired by our shared beliefs:We will stop at nothing to improve patient care across the world.We design user experiences for joy and ship them fast.We make decisions in a flat hierarchy that prioritizes the truth over rank.We provide the resources for people to succeed and give them the freedom to do it.Why you will flourish with us 🚀?Flexible hybrid working environment, with 3 days in the office.Additional paid day off for your birthday and wellness daysSpecial corporate rates at Anytime Fitness in Melbourne, Sydney tbc.A generous personal development budget of $500 per annumLearn from some of the best engineers and creatives, joining a diverse teamBecome an owner, with shares (equity) in the company, if Heidi wins, we all winThe rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startupsIf you have an impact quickly, the opportunity to fast track your startup career!Help us reimagine primary care and change the face of healthcare in Australia and then around the world.

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At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As Staff Product Manager for Upmarket Onboarding, you’ll own the vision, strategy, and execution for how Vanta onboards upmarket (mid-market and enterprise) customers. This highly strategic role sits at the center of Vanta’s upmarket motion, ensuring every customer experiences a tailored, intuitive, and fast path to seeing value in Vanta’s GRC platform. You’ll build AI-powered experiences to decrease onboarding time from months to days for our most sophisticated customers.What you’ll do as a Staff Product Manager at Vanta:Define and drive the vision for Vanta’s upmarket onboarding experience — helping organizations import, map, and configure, their security programs in VantaTranslate complexity into clarity — prioritize scalable solutions that deliver clarity and confidence throughout onboardingInnovate with AI — integrate AI into the core onboarding experience, making it proactive, intelligent, and scalableDeeply understand customers — partner directly with customers, prospects, and internal teams to uncover needs, test hypotheses and validate solutionsLead cross-functionally — partner with engineering, design, go-to-market and cross-functional product teams to drive alignment and execution across the customer journeyShape Vanta’s product culture — help define what great product management looks like as we scaleHow to be successful in this role:8+ years of product management experience, including building and scaling B2B SaaS productsExperience with leveraging AI/ML to solve customer problemsProven track record of driving large, cross-cutting initiatives successfullyDeep customer empathy and curiosity — you thrive on understanding complex workflows and simplifying them elegantlyExceptional written and verbal communication, including with executive stakeholdersLearner mindset - you have genuine excitement for building both AI and non-AI products, and the grit to experiment, iterate, and failBonus: Experience in B2B SaaS onboarding and activation and/or GRCWhat you can expect as a Vantan:Industry-competitive compensation100% covered medical, dental, and vision benefits with dependents coverage16 weeks fully-paid parental Leave for all new parentsHealth & wellness and remote workplace stipendsFamily planning benefits through Carrot Fertility401(k) matchingFlexible work hours and locationOpen PTO policy11 paid holidays in the USOffices in SF, NYC, London, Dublin, and SydneyTo provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials. #LI-remoteAt Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply.About VantaWe started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent.

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.ABOUT THE TEAM The Corp Tech Acquisition team scopes and manages the implementation of Anduril’s acquired companies. We help enable the new acquisitions to build, ship, and deploy products at scale with Anduril’s systems and processes. As we continue to acquire companies and expand our capabilities, we are seeking a highly skilled Acquisition Program Manager specializing in Mergers & Acquisitions (M&A). This role will lead and coordinate the acquisition process, work with leadership and cross-functional teams to ensure a smooth integration, and manage all aspects of program planning and execution. ABOUT THE JOB   Oversee the acquisition program lifecycle from due diligence, integration, and adoption to completion across multiple acquisitions Work closely with cross-functional stakeholders (IT, Legal, HR, Supply Chain, Manufacturing, Mission Operations, Finance, Product, Deployments) to root cause problems and scope key requirements, milestones, and dependencies for acquisition implementation success Own building the program management foundation for the acquisition team Own defining, managing, and improving program management processes for all acquisition implementations Help implement risk management strategies, identifying potential issues and developing contingency plans Manage the program timeline across all related acquisitions, ensuring milestones are met and programs stay on track Define program scope, goals, and deliverables in collaboration with stakeholders and senior management Facilitate communication and collaboration across cross-functional teams and departments Provide regular updates and/or risks to the appropriate management channels and escalate issues, as necessary, according to each acquisitions integration plan Analyze each program status and, when necessary, revise the scope, schedule, or resources to ensure that program requirements can be met Establish and maintain relationships with relevant stakeholders, providing day-to-day contact on program status and changes REQUIRED QUALIFICATIONS   50%+ travel required insanely high execution bar, and will see all programs through from conception to tactical completion to move Anduril forward 5+ years of program management experience, preferably with managing complex systems and operations implementations 5+ years of experience with managing executive communication, board of director goals or driving cross company initiatives Excellent written and verbal communication skills and strong presentation skills, able to clearly articulate needs to leadership team and a wide variety of cross-functional stakeholders Collaborate across teams, strategizing how to bridge different parts of the organization to achieve cross-functional outcomes Ability to observe and anticipate potential risks across programs, milestones, timelines, etc. You are incredibly organized, detail-oriented, and and excel in strategic planning You have both high ownership and low ego, approaching everything with strong outcome orientation and high humility You’re discerning and an incredibly fast learner U.S. Persons status is required as this position needs to access export-controlled data    US Salary Range$146,000—$194,000 USD  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:  Healthcare Benefits  US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.  UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.  IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.  Additional Benefits  Income Protection: Anduril covers life and disability insurance for all employees.  Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.  Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.  Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.  Professional Development: Annual reimbursement for professional development  Commuter Benefits: Company-funded commuter benefits based on your region.  Relocation Assistance: Available depending on role eligibility.  Retirement Savings Plan  US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.  UK & IE Roles: Pension plan with employer match.  AUS Roles: Superannuation plan.  The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. 

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About the TeamThe Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.The Pretraining Safety team’s goal is to build safer, more capable base models and enable earlier, more reliable safety evaluation during training. We aim to:Develop upstream safety evaluations that to monitor how and when unsafe behaviors and goals emerge;Create safer priors through targeted pretraining and mid-training interventions that make downstream alignment more effective and efficientDesign safe-by-design architectures that allow for more controllability of model capabilities In addition, we will conduct the foundational research necessary for understanding how behaviors emerge, generalize, and can be reliably measured throughout training.About the RoleThe Pretraining Safety team is pioneering how safety is built into models before they reach post-training and deployment. In this role, you will work throughout the full stack of model development with a focus on pre-training:Identify safety-relevant behaviors as they first emerge in base modelsEvaluate and reduce risk without waiting for full-scale training runsDesign architectures and training setups that make safer behavior the defaultStrengthen models by incorporating richer, earlier safety signals We collaborate across OpenAI’s safety ecosystem—from Safety Systems to Training—to ensure that safety foundations are robust, scalable, and grounded in real-world risks.In this role, you will:Develop new techniques to predict, measure, and evaluate unsafe behavior in early-stage modelsDesign data curation strategies that improve pretraining priors and reduce downstream riskExplore safe-by-design architectures and training configurations that improve controllabilityIntroduce novel safety-oriented loss functions, metrics, and evals into the pretraining stackWork closely with cross-functional safety teams to unify pre- and post-training risk reduction You might thrive in this role if you: Have experience developing or scaling pretraining architectures (LLMs, diffusion models, multimodal models, etc.)Are comfortable working with training infrastructure, data pipelines, and evaluation frameworks (e.g., Python, PyTorch/JAX, Apache Beam)Enjoy hands-on research — designing, implementing, and iterating on experimentsEnjoy collaborating with diverse technical and cross-functional partners (e.g., policy, legal, training)Are data-driven with strong statistical reasoning and rigor in experimental designValue building clean, scalable research workflows and streamlining processes for yourself and othersAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Who we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are Metropolis is seeking a transformative Accounting Manager to help lead our accounting function, focusing on corporate business operations and financial reporting. This role is crucial for modernizing accounting operations through process automation, scalable processes, and real-time analytics. You will participate in managing the general ledger and financial reporting, drive process improvement, and ensure compliance and participate in the annual audit. The successful candidate will utilize AI and Robotic Process Automation (RPA) to optimize workflows, automate tasks, and enhance efficiency. You will also help lead and develop a team of staff and senior accountants, fostering growth and operational excellence. What you'll do Complete month-end close activities accurately and according to department deadlines Help lead and mentor a team of staff and senior accountants, providing guidance, training, and performance feedback Identify opportunities to improve efficiency through automation and AI-driven tools in accounting workflows Collaborate with finance systems and data teams to implement automated reporting and reconciliation solutions Prepare and post journal entries; collect, analyze, and record data to general ledger system Record accruals, expense allocations, and month-end true-ups Review and reconcile balance sheet accounts monthly; assist with the monthly budgetary process for reporting and variance analysis Maintain financial historical records by filing accounting documents and related support Work closely with internal and external departments to ensure financial transactions are properly recorded and complete; answer accounting and financial questions by researching and interpreting data Participate in year-end audit to compile and prepare supporting schedules, work papers, and financial reports What we're looking for 7+ years of accounting experience Bachelor’s degree in accounting from an accredited university 2+ years of prior leadership experience within an accounting organization Ability to manage time for multiple tasks to meet established deadlines Excellent oral and written communication skills Ability to work with a low-ego, highly collaborative, cross-functional team Experience with accounting automation, AI-enabled analytics tools, or process optimization through technology (e.g., RPA, AI-based reconciliation, or workflow automation) Strong interest in leveraging AI and emerging technologies to enhance financial operations While not required, these are a plus: Experience in real estate CPA certification When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $115,000.00 USD to $130,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AW1 #LI-OnsiteMetropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

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About the TeamOpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.About the RoleOur GTM team is uniquely positioned to help customers realize the transformative potential of advanced AI models for their businesses and end users. As part of the GTM Strategy & Operations team, you’ll play a critical role in guiding the GTM strategy and driving the operational efficiency to accomplish this mission.We’re seeking a Sales Strategy & Operations business partner role to support our Startups segment. In this role, you’ll serve as a trusted advisor to sales leadership, driving core operating cadences, delivering data-driven insights, and leading high-impact projects that accelerate growth across the startups motion. You’ll also collaborate cross-functionally with Finance, Enablement, Data and Growth Strategy teams to align efforts, drive efficiencies, and accelerate growth.This role is based in NYC. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you'll:Drive core operating rhythms including forecasting, pipeline reviews, top account reviews, and monthly/quarterly business reviewsAnalyze performance data to identify trends, surface risks, and highlight growth opportunitiesPartner with sales leaders and cross-functional stakeholders to develop go-to market strategyManage planning efforts including territory design, resource allocation, and target settingLead initiatives that enhance seller productivity and optimize funnel performanceCollaborate with GTM Systems to assess, implement, and optimize sales processes and toolingWork closely with the data team to ensure data accuracy and availability for revenue-related activities.You might thrive in this role if you have:7+ years experience in revenue operations or strategy at a high-growth, technology companyProficiency in Salesforce.com and data analysis tools (e.g., SQL, Excel)Strong analytical skills with a focus on attention to detailExperience building territories, comp plans, and setting quotas for GTM teamsExceptional project management skills, with experience leading complex, cross-functional initiativesStrong communication skills and executive presenceAn understanding of the AI landscape, our applications, and the problems they solve for our customers.The ability to thrive in ambiguity and work autonomouslyExceptional organizational skillsThe ability to operate with high horsepower, be adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritizationAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Location: United States (Remote, NYC Metro Area ideal) About the company Cake is on a mission to make cutting-edge AI practical and scalable for every business. We remove complexity and cost barriers, empowering organizations to adopt AI faster and with greater confidence. Cake solves the end-to-end AI infrastructure challenge, enabling customers to move from experimentation to enterprise-scale production up to 10x faster and more cost-effectively than alternatives. The platform brings together compute management, open-source components, common integrations, and project-ready building blocks, with security, governance, and monitoring built in from the start. This approach is already resonating strongly in the mid-market, and we are now expanding rapidly into the enterprise. Backed by top investors, Cake is a dynamic team of forward-thinking technologists passionate about breaking down barriers and making AI accessible to companies that need both speed and trust to scale. Intensity, humility, and collaboration are the cornerstones of Cake culture. We learn quickly, move with urgency, and push the boundaries of what is possible, building both the next generation of AI infrastructure and a culture where ambitious people can do the best work of their careers. What you’ll do As a Senior Software Engineer, you’ll be a key part of our engineering organization, driving the design, implementation, and scalability of Cake’s core product experience. You’ll work across the stack—from the front-end Next.js application to the backend Go services running on Kubernetes—ensuring our products delight customers and meet the highest standards of reliability and performance. Specifically, you will: Deliver High-Quality Features Quickly ramp up on Cake’s architecture (e.g., Next.js, Go Kubernetes Operator, Crossplane, and Terraform). Contribute code with high autonomy and identify technical debt or bottlenecks affecting velocity. Suggest immediate process/tool improvements to optimize team speed. Own Critical Initiatives Lead at least one major product feature or architectural refactoring from concept to production release by your second month. Drive improved code quality, security, and performance through thoughtful reviews and mentorship. Mentor & Share Knowledge Conduct knowledge-sharing sessions or pair-programming to elevate team skill sets. Provide clear, actionable feedback to help other engineers grow and adopt best practices. Engage with Customer Needs Work directly with customers, answering questions and troubleshooting issues. Use this insight to inform product priorities and improve overall solution impact. Participate in a 24/7 on-call rotation to respond to critical customer issues. Requirements 5+ Years of Software Engineering Significant experience in full-stack development with React or Next.js, plus backend expertise (Go preferred). Experience designing and implementing robust user-facing APIs. Cloud-Native Experience Familiar with AWS, GCP, or Azure. Solid understanding of container orchestration (Kubernetes strongly preferred). Architectural & Design Skills Proven track record of building secure, scalable platforms. Ability to diagnose and debug complex production systems. Focus on Quality & Security Embrace test-first, DevSecOps approaches and modern CI/CD pipelines. Customer Obsession History of working directly with customers, translating feedback into technical requirements. Entrepreneurial Mindset Excited by product ownership, iterative development, and fast-paced decision-making. Excellent Communication Skilled at articulating complex technical topics to both technical and non-technical audiences, both verbally and through documentation. Able to drive consensus and collaborate effectively across teams. Benefits Cake is a remote-first company Competitive cash compensation alongside above-market equity upside Top-tier fully covered medical, dental, and vision insurance Life insurance 401k program Additional Perks PTO Monthly half day Citi Bike membership Monthly wellness stipend Office equipment stipend, including reimbursement for approved disability-related accommodations Investment in employee learning and growth opportunities Cake is committed to providing equal employment opportunities to all employees and job seekers regardless of race, color, religion, national origin, sexual orientation, gender, gender identity, marital status, disability, veteran status, or any other legally protected category. As an equal opportunities employer, we value diversity and its positive impact on our culture.  Cake also complies with the Americans with Disabilities Act (ADA). We are dedicated to working with and providing reasonable accommodation to job applicants with physical or mental disabilities. If you require accommodation, please email us at accommodationrequests@cake.ai and we will promptly address your request.

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About UsHippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.Why Join Our TeamInnovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.For more information, visit www.HippocraticAI.com.We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA, unless explicitly noted otherwise in the job description.About the RoleAs an Applied Machine Learning Engineer – Evaluations at Hippocratic AI, you’ll be at the core of how we measure, understand, and improve our voice-based generative AI healthcare agents.Your work will translate complex, qualitative notions of empathy, safety, and accuracy into quantitative evaluation signals that guide model iteration and deployment.You’ll design and implement evaluation harnesses, analysis tools, and visualization systems for multimodal agents that use language, reasoning, and speech.Partnering closely with research, product, and clinical teams, you’ll ensure every model update is grounded in data, validated against real-world scenarios, and continuously improving in both intelligence and bedside manner.This is a hands-on, experimental role for ML engineers who care deeply about quality, safety, and user experience—and who thrive at the intersection of research and product.What You'll Do:Design and implement evaluation harnesses for multimodal agent tasks, spanning speech, text, reasoning, and interaction flows.Build interactive visualization and analysis tools that help engineers, researchers, and clinicians inspect model and UX performance.Define, automate, and maintain continuous evaluation pipelines, ensuring regressions are caught early and model releases improve real-world quality.Collaborate with product and clinical teams to translate qualitative healthcare goals (e.g., empathy, clarity, compliance) into measurable metrics.Analyze evaluation data to uncover trends, propose improvements, and support iterative model tuning and fine-tuning.What You BringMust Have:4+ years of experience in applied ML, ML engineering, or AI evaluation, with a focus on building and analyzing model pipelines.Strong skills in Python, with experience in data processing, experiment tracking, and model analysis frameworks (e.g., Weights & Biases, MLflow, Pandas).Familiarity with LLM evaluation methods, speech-to-text/text-to-speech models, or multimodal systems.Understanding of prompt engineering, model fine-tuning, and retrieval-augmented generation (RAG) techniques.Comfortable collaborating with cross-functional partners across research, product, and design teams.Deep interest in AI safety, healthcare reliability, and creating measurable systems for model quality.Nice-to-Have:Experience building human-in-the-loop evaluation systems or UX research tooling.Knowledge of visualization frameworks (e.g., Streamlit, Dash, React) for experiment inspection.Familiarity with speech or multimodal model evaluation, including latency, comprehension, and conversational flow metrics.If you’re passionate about understanding how AI behaves, measuring it rigorously, and helping shape the next generation of clinically safe, empathetic voice agents, we’d love to hear from you.Join Hippocratic AI and help set the benchmark for evaluation-driven AI development in healthcare.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything