AI Data Science & Analytics Jobs

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the team The Enterprise Agents Engineering Team at xAI is a team of builders solving the hardest problems in applied AI: integrating with messy systems, orchestrating complex workflows, and harnessing AI to transform business operations. We build full-stack solutions with ownership of end-to-end product execution from ideation to deployment, collaborating closely with our research team to incorporate cutting-edge AI advancements into robust and reliable user-centric solutions. Through an iterative development process, we work hand-in-hand with customers to gather feedback, refine features, and evolve products to address real-world challenges. About the role An ideal candidate meets at least the following requirements: Expert knowledge of either Rust or C++, Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems, Knowledge of service observability and reliability best practices, Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and CockroachDB Additionally, any of the below points will help a candidate stand out: Expert knowledge of Python, Experience with Docker, Kubernetes, and containerized applications, Expert knowledge of TypeScript, Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping), Hands-on experience with LLM APIs, embeddings, or RAG patterns Track record of delivering user-facing software at scale. Interview process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic technical questions. If you clear the initial phone interview, you will enter the main process, which consists of at least two technical interviews: Coding interview in Rust or C++. Distributed systems design interview. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. Annual Salary Range $180,000 - $440,000 USD  Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: You will work end-to-end, contributing to our client application written in React and our monolithic backend written in Python, and managing the safe release of your features to our customer base. You will have sole ownership of projects that span months, requiring you to have the ability to break a problem down into small steps that can be delivered and validated iteratively. You will work directly with the product manager responsible for your project, meaning that you will be expected to ideate and focus on the commercial problem that you're solving, and you will have the opportunity to shape the direction of the product. You will evaluate your own work, leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary. You will consider the long-term direction of the team, making sure that we are developing the engineering capabilities that will allow us to stay ahead of the challenges we are likely to encounter in 6-12 months' time.   What we're looking for: At least seven (7) years of experience as a software engineer, at least 3 on the senior/lead level. You have experience in a high-performing engineering team that is operating at scale. This could come from a scale-up environment or a more established organization recognised for building and shipping with a great engineering culture. An ability to work across the stack, with deep knowledge on client side, experience in implementing complex UI interactions is ideal. FE only experience is OK if you are happy to occasionally help out with BE. Relevant engineering experience for a team building an enterprise-grade SaaS product delivering AI-powered video generation; billing systems, experimentation platforms, video delivery systems, online editors, real-time collaboration and so on. Strong alignment with commercial success. Previous leadership experience of smaller teams is a plus.    Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, Our culture At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. Serving 50,000+ customers (and 50% of the Fortune 500) We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. Proprietary AI technology Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.  Learn more about our commitments to AI Ethics, Safety & Security.   The hiring process: 30-40min call with our technical recruiter 45min call with engineers about your past projects Take-home assignment (no alternative is offered) - does not have a deadline and is syntax-agnostic, so you're welcome to use the tools and languages you're most comfortable with. That said, we strongly prefer contributions using our core stack: React/TypeScript on the frontend, and Python/Flask on the backend. 60min technical discussion 30min call with leadership  The process does not need to take long - we can be done in seven working days.   Other important info: This is a remote role from an EU country, UK or Switzerland.  The salary starts at EUR/GBP/CHF 100.000 base + stock option plan. This is full-time employment only - no contractors possible - usually through OysterHR. Everyone at Synthesia gets 25 days of leave + local holidays (no extra paid or unpaid leave possible). We only sponsor VISA if you are in the UK/EU country already and need support - we do not relocate people.

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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. About the role [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]  We are looking for a data-driven and collaborative individual to join our team as an RTB Advertising Optimization PM. In this role, you will work closely with data scientists and campaign managers to improve RTB (Real-Time Bidding) campaign performance through model enhancements, strategic insights, and cross-team collaboration. You will have the opportunity to run large-scale A/B testing experiments on billions of ad requests daily, identify key signals that drive performance, and shape the optimization direction based on real-time data and industry trends. This is an ideal opportunity for someone who is passionate about advertising technology, machine learning applications, and performance marketing. Key Responsibilities: Partner with data scientists and campaign managers to improve RTB model and algorithm performance. Analyze competitor strategies and market trends to identify optimization opportunities. Drive data-informed decision-making to improve campaign outcomes. Design and evaluate A/B experiments at scale using billions of daily auction requests. Research and test end-to-end RTB ad serving behaviors to uncover areas for improvement. Explore and evaluate potential new signals to enhance model effectiveness. Collaborate with the SSP partnership team to optimize traffic quality and supply-side performance. Coordinate cross-functional requirements with strong communication and alignment across teams. Qualifications: Education: Background in Engineering, Data Science, Marketing, or related fields is a plus. Availability: Must be available full-time; based in TW preferred. Language Skills: Proficient in English and Mandarin; able to clearly articulate ideas and findings across technical and non-technical audiences. Bonus: Experience in digital advertising campaign operations, media buying, or performance optimization—especially within RTB environments—is a strong plus.   #LI-AK1

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🎤 Why voize? Because we’re more than just a job!At voize, we’re revolutionizing the healthcare industry with AI: Nurses simply speak their documentation into their smartphones, and our AI automatically generates the correct entries. This saves each nurse an average of 39 minutes per day, improves the quality of documentation, and makes their daily work much more rewarding.voize is YCombinator-funded, already in use at over 600 senior care homes, and has grown by 100% in the last 90 days. Our customers save over 3.5 million hours annually – time spent on people instead of paperwork.But this is just the beginning. With our self-developed voize AI, we’re transforming not only the healthcare industry, but also have the potential to create value in many other sectors – from healthcare to inspections.💡 Your Mission:If you're a Machine Learning Engineer experienced with Speech recognition and are excited to work at the cutting edge of product design, applied ML research, and MLOps, then go ahead and apply! With us, you'll build products with direct user feedback, train AI models with real data, and ship new features to production every day.🤝 Your Skillset – What you bring to the tableSeveral years hands-on experience in Deep Learning for speech recognition, including developing and optimising ASR-systems (not just academic research)Excellent foundation in STT (Speech-to-Text) system development with a focus on real-world applicationsExperience with owning the ML process end-to-end: from concept and exploration, to model productionization, maintenance, monitoring and optimizationShipped ML models to production with Python and PyTorchTrained new models from scratch and not just fine-tuning existing ones🚀 Your Daily Business – No two days are alikeTake ownership for the design, training, evaluation, and deployment of our deep learning models in the space of speech recognitionThe models you build and refine are at the heart of our applications and directly impact the end-userYou'll get to engineer large self-supervised trainings as well as fast inference for mobile devices and hosted environments🎯 Our Success Mindset – How we work at voizeResilience is one of your strengths – you see challenges as opportunities, not obstaclesIterative working suits you – you test, learn, and improve constantly instead of waiting for perfectionCommunication & feedback come naturally to you – you openly address issues and both give and receive constructive feedback🌱 Growing together – what you can expect at voizeBecome a co-creator of our success with virtual stock optionsOur office is in Berlin, and we offer remote workWe provide flexible working hours because you know best when you work most efficiently!Access to various learning platforms (e.g., Blinkist, Audible, etc.)We have an open culture and organize regular work weeks and team events to collaborate and bondWe are a fast-growing startup, so you'll encounter various challenges, providing the perfect foundation for rapid personal growthYour work will make a real impact, helping alleviate the workload for healthcare professionalsFree Germany Ticket and Urban Sports Club membership30 days of vacation – plus your birthday off✨ Ready to talk? Apply now! 🚀We look forward to your application and can’t wait to meet you – no matter who you are or what background you have!

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can expect to be client-side for up-to three days per week at times and working either from home or our Old street office for the rest of your time. What you'll be doing:As a Senior Data Scientist in our Defence business unit you will lead project teams that deliver bespoke algorithms to our clients across the defence and national security sector. You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes.You will play an important role in the development of others at Faculty by acting as the designated mentor of a small number of data scientists, and by supporting the professional growth of data scientists on the project team. The latter includes giving targeted support where needed, and providing step-up opportunities where helpful.Faculty has earned wide recognition as a leader in practical data science. You will actively contribute to the growth of this reputation by delivering courses to high-value clients, by talking at major conferences, by participating in external roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project.Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of fast configuration, secure collaboration and easy deployment. Because your work in data science will inform the development of our AI products, you will often collaborate with software engineers and designers from our dedicated product team.Who we're looking for: Senior experience in either a professional data science position or a quantitative academic fieldStrong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframeAn excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe)A high level of mathematical competence and proficiency in statisticsA solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skillA leadership mindset focussed on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists; enthusiasm for nurturing a collaborative and dynamic cultureAn appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deploymentSome commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audienceExperience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to deliveryWhat we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About IntangibleIntangible is a spatial intelligence AI company for creatives in film, advertising, events, marketing and interactive media. We make constructing 3D experiences dramatically faster, cheaper and more collaborative for creative, distributed teams. We are an interdisciplinary team of engineers, artists and designers that have built and shipped multiple end-to-end products at companies like Apple, Unity, Pixar, ILM and Electronic Arts. Intangible is seed funded by a16z Speedrun, Crosslink Capital and prominent angels.We are a design-obsessed team shipping a groundbreaking product — and we’re looking for someone who shares our attention to detail and love of craft in building fun things. If you’ve been looking for something with actual creative freedom and real impact I promise you - this is it. General InterestWe’re always excited to meet talented, driven individuals who want to shape the future with us. If you don’t see an open role that matches your expertise but believe you’d be a great fit for our team, we’d love to hear from you!Submit your application and we’ll keep your details on file. When the right opportunity comes up, we’ll be sure to reach out.

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Work With UsAt Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.This Role Is For You If:You want to play a critical role in our foundation model development process, focusing on consolidating, gathering, and generating high-quality text data for pretraining, midtraining, SFT, and preference optimizationRequired Experience:Experience Level: B.S. + 5 years experience or M.S. + 3 years experience or Ph.D. + 1 year of experienceDataset Engineering: Expertise in data curation, cleaning, augmentation, and synthetic data generation techniquesMachine Learning Expertise: Ability to write and debug models in popular ML frameworks, and experience working with LLMsSoftware Development: Strong programming skills in Python, with an emphasis on writing clean, maintainable, and scalable codeDesired Experience:M.S. or Ph.D. in Computer Science, Electrical Engineering, Math, or a related field.Experience fine-tuning or customizing LLMsFirst-author publications in top ML conferences (e.g. NeurIPS, ICML, ICLR).Contributions to popular open-source projectsWhat You'll Actually Do:Create and maintain data cleaning, filtering, selection pipeline than can handle >100TB of dataWatch out for the release of public dataset on huggingface and other platformsCreate crawlers to gather datasets from the web where public data is lackingWrite and maintain synthetic data generation pipelinesRun ablations to assess new dataset and judging pipelinesWhat You'll Gain:Hands-on experience with state-of-the-art technology at a leading AI companyA collaborative, fast-paced environment where your work directly shapes our products and the next generation of LFMsAbout Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

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About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more. Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI! Analyst, Enterprise Analytics We are looking for talented candidates to join our Hive Media team, a unit of the business focused on serving media companies, agencies, and advertisers with AI-powered products. As an Analyst on our Enterprise Analytics team, you will work closely with the Hive Media team to support delivery and growth of our media business. You will be expected to keep up with multiple projects at a time and apply your strong quantitative skills to analyze priorities, metrics, and client solutions and strategies. This is a great opportunity to be an integral part of a fast-growing startup, and you’ll be able to learn the ins and outs of how to support a team of innovative leaders who relentlessly pursue the best experience possible for all of our clients. ResponsibilitiesConduct internal and external analysis on Hive offerings to refine solutions and commercialization strategiesCommunicate outcomes of various projects and analytics to ensure growth and development of business goals Collaborate with machine learning and engineering teams in developing working solutions that benefit the client Enhance awareness in the targeted business community of Hive and our products / servicesMaintain awareness of industry best practices for data maintenance handling as it relates to your roleAdhere to policies, guidelines and procedures pertaining to the protection of information assetsReport actual or suspected security and/or policy violations/breaches to an appropriate authority Requirements You have a Bachelor's degreePreferred: You have 0-1 years of work experience Excellent written and verbal communication skillsYou have demonstrated success in a competitive environmentYou are highly self-motivated and ambitious in achieving goalsStrong team player, but can work and execute independentlyYou’re driven; no one needs to push you to excel; that’s just who you areYou are hungry to learn and you actively look for opportunities to contributeYou are highly organized and detail-oriented; you can handle multiple projects and dynamic priorities without missing a beat

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. About the CompanyAt 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 Ecology / Environment Science, 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.Requirements You have a Bachelor’s degree plus 6 years of relevant experience in Ecology, Environmental Science, or a related field. You hold a Master’s or PhD in Ecology, Environmental Science, or a related field, along with 3 years of relevant work experience. Your level of English is advanced (C1) or above. 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 $50/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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Work With UsAt Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.This Role Is For You If:You have experience building large-scale production stacks for model serving.You have a solid understanding of ragged batching, dynamic load balancing, KV-cache management, and other multi-tenant serving techniques.You have experience with applying quantization strategies (e.g., FP8, INT4) while safeguarding model accuracy.You have deployed models in both single-GPU and multi-GPU environments and can diagnose performance issues across the stack.Desired Experience:PyTorchPythonModel-serving frameworks (e.g. TensorRT, vLLM, SGLang)What You'll Actually Do:Optimize and productionize the end-to-end pipeline for GPU model inference around Liquid Foundation Models (LFMs).Facilitate the development of next-generation Liquid Foundation Models from the lens of GPU inference.Profile and robustify the stack for different batching and serving requirements.Build and scale pipelines for test-time compute.What You'll Gain:Hands-on experience with state-of-the-art technology at a leading AI company.Deeper expertise in machine learning systems and efficient large model inference.Opportunity to scale pipelines that directly influence user latency and experience with Liquid's models.A collaborative, fast-paced environment where your work directly shapes our products and the next generation of LFMs.About Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

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About Loop Loop is on a mission to unlock profits trapped in the supply chain (https://loop.com/article/unlock-profit-trapped-in-your-supply-chain) and lower costs for consumers. Bad data and inefficient workflows create friction that limits working capital and raises costs for every supply chain stakeholder. Loop’s modern audit and pay platform uses our domain-driven AI to harness the complexity of supply chain data and documentation. We improve transportation spend visibility so companies can control their costs and power profit. That is why industry leaders like J.P. Morgan Chase, Great Dane, Emerge, and Loadsmart work with Loop. Our investors include J.P. Morgan, Index Ventures, Founders Fund, 8VC, Susa Ventures, Flexport, and 50 industry-leading angel investors. Our team brings subject matter expertise from companies like Uber, Google, Flexport, Meta, Samsara, Intuit, Rakuten, and long-standing industry leaders like C.H. Robinson. About the Role We are seeking a technically adept and proactive team member to join our Post-Production Support team as a Technical Support Architect. This role is critical in ensuring the ongoing stability, performance, and continuous improvement of deployed integration solutions between Loop and our clients’ TMS, FPA, WMS, YMS, ERP, and BI systems. The ideal candidate has hands-on experience with cloud architecture, integration methods (APIs, flat files, EDI), and development in Python or JavaScript. A strong problem-solving mindset, ability to triage and resolve technical issues, and a focus on optimizing support processes are essential. Key Responsibilities Own post-go-live technical support for all deployed integrations, ensuring system uptime, data integrity, and seamless operation between Loop and client systems (TMS, ERP, BI, etc.). Triage, diagnose, and resolve integration incidents and service requests—acting as the technical escalation point for complex issues reported by clients or internal teams. Monitor integration health using observability tools and dashboards; proactively identify and address performance bottlenecks, data syncing issues, or integration failures. Lead root cause analysis for major incidents; document findings, recommend preventive measures, and implement fixes to reduce recurrence. Develop and maintain runbooks, knowledge base articles, and support documentation to empower Tier 1/Tier 2 teams and improve resolution efficiency. Collaborate with Product and Engineering teams to communicate recurring issues, gaps, or enhancement requests—ensuring client feedback directly informs the product roadmap. Deliver targeted training and enablement for client teams and internal support staff on integration best practices, troubleshooting, and system usage. Manage the technical aspects of minor enhancements and patches post-launch, coordinating testing and release with minimal disruption to client operations. Participate in cross-functional incident management processes; lead technical bridge calls during critical outages and ensure transparent, timely client communication. Track and report key support metrics (e.g., MTTR, incident volume, client satisfaction); use data to identify trends and drive continuous improvement in support delivery. Maintain a strong understanding of industry standards and emerging technologies in logistics, ERP, and integration platforms to recommend relevant upgrades or innovations. Qualifications Hands-on experience with cloud-based integration development (Python, JavaScript) and modern DevOps practices. Deep familiarity AWS, AZURE, GCP, and Integration platforms Proven ability to troubleshoot complex integration issues across APIs, flat files, and EDI. Strong organizational skills to manage multiple concurrent support cases and prioritize based on business impact. Excellent communication to liaise between technical teams, clients, and business stakeholders. Proactive, customer-focused mindset with a commitment to operational excellence and continuous improvement. Success Measures Reduction in incident volume and resolution time for integration-related issues. High client satisfaction scores and low escalation rates. Effective knowledge transfer to Tier 1/Tier 2 support teams. Identification and implementation of process improvements that reduce support costs or enhance system reliability. Benefits & Perks Premium Medical, Dental, and Vision Insurance plans, premiums covered 100% for you 401k plan, FSA, Commuter benefits Unlimited PTO Generous professional development budget to feed your curiosity Physical and Mental fitness subsidies for yoga, meditation, gym, or ski membership Salary Range based on experience and skills 130,000 - 150,000 Why You Should Join Loop

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Work With UsAt Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.This Role Is For You If:You have extensive experience building distributed training infrastructure for language and multimodal models, with hands-on expertise in frameworks like PyTorch Distributed, DeepSpeed, or Megatron-LMYou're passionate about solving complex systems challenges in large-scale model training—from efficient multimodal data loading to sophisticated sharding strategies to robust checkpointing mechanismsYou have a deep understanding of hardware accelerators and networking topologies, with the ability to optimize communication patterns for different parallelism strategiesYou're skilled at identifying and resolving performance bottlenecks in training pipelines, whether they occur in data loading, computation, or communication between nodesYou have experience working with diverse data types (text, images, video, audio) and can build data pipelines that handle heterogeneous inputs efficientlyDesired Experience:You've implemented custom sharding techniques (tensor/pipeline/data parallelism) to scale training across distributed GPU clusters of varying sizesYou have experience optimizing data pipelines for multimodal datasets with sophisticated preprocessing requirementsYou've built fault-tolerant checkpointing systems that can handle complex model states while minimizing training interruptionsYou've contributed to open-source training infrastructure projects or frameworksYou've designed training infrastructure that works efficiently for both parameter-efficient specialized models and massive multimodal systemsWhat You'll Actually Do:Design and implement high-performance, scalable training infrastructure that efficiently utilizes our GPU clusters for both specialized and large-scale multimodal modelsBuild robust data loading systems that eliminate I/O bottlenecks and enable training on diverse multimodal datasetsDevelop sophisticated checkpointing mechanisms that balance memory constraints with recovery needs across different model scalesOptimize communication patterns between nodes to minimize the overhead of distributed training for long-running experimentsCollaborate with ML engineers to implement new model architectures and training algorithms at scaleCreate monitoring and debugging tools to ensure training stability and resource efficiency across our infrastructureWhat You'll Gain:The opportunity to solve some of the hardest systems challenges in AI, working at the intersection of distributed systems and cutting-edge multimodal machine learningExperience building infrastructure that powers the next generation of foundation models across the full spectrum of model scalesThe satisfaction of seeing your work directly enable breakthroughs in model capabilities and performanceAbout Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

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Work With UsAt Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.This Role Is For You If:You have experience writing high-performance, custom GPU kernels for training or inference.You have an understanding of low-level profiling tools and how to tune kernels with such tools.You have experience integrating GPU kernels into frameworks like PyTorch, bridging the gap between high-level models and low-level hardware performance.You have a solid understanding of memory hierarchy and have optimized for compute and memory-bound workloads.You have implemented fine-grain optimizations for a target hardware, e.g. targeting tensor cores.Desired Experience:CUDACUTLASSC/C++PyTorch/TritonWhat You'll Actually Do:Write high-performance GPU kernels for inference workloads.Optimize alternative architectures used at Liquid across all model parameter sizes.Implement the latest techniques and ideas from research into low-level GPU kernels.Continuously monitor, profile, and improve the performance of our inference pipelines.What You'll Gain:Hands-on experience with state-of-the-art technology at a leading AI company.Deeper expertise in machine learning systems and performance optimization.Opportunity to bridge the gap between theoretical improvements in research and effective gains in practice.A collaborative, fast-paced environment where your work directly shapes our products and the next generation of LFMs.About Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

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About Us Ada is an AI customer service company whose mission is to make customer service extraordinary for everyone. We're driven to raise a new standard of quality customer service at scale, enabling enterprise companies to deliver experiences that people love–instant, proactive, personalized, and effortless. Ada is an AI transformation platform and partner—combining strategic expertise with powerful AI agent management technology to accelerate businesses’ AI maturity to keep them ahead of the curve. With Ada, 83% of customer conversations—and counting—are effortlessly resolved through automation, giving teams more time back, companies more resources to focus on growth, and customers more life to focus on what matters most to them. Established in 2016, Ada is a Canadian company that has powered over 5.5 billion interactions for leading brands like Square, YETI, Canva, and Monday.com, saving millions of hours of human effort. Backed with over $250M in funding from tier-one investors including Accel, Bessemer, FirstMark, Spark, and Version One Ventures, Ada is a pioneer in the management and application of AI in customer service. At Ada, we see growth as a reflection of each individual owner’s personal growth. That’s why our values are rooted in driving progress and continuous improvement. If you’re ambitious and eager to grow, Ada could be the place for you. Learn more at www.ada.cx.Engineering at Ada Everyone at Ada is an “Ada Owner”, this refers not just to the fact that you share in the equity, but also the expectation we have of you, and the agency you are given, to influence and shape our technical roadmap. True to our value of “Always Be Improving”, we are a team of folks who have the drive to grow themselves, and others around them, resulting in a challenging, but fulfilling environment.   With AI and LLMs central to our business, staying proficient and evolving alongside advancements in this field is crucial for success.  Our Role As a Senior Software Engineer on our Voice team, you will be working with internal and external stakeholders, product managers, and designers to execute Ada’s roadmap to deliver a best-in-class voice experience for our customers. Our team is focused on making it as easy as possible for Ada to be deployed in all the channels where our customers and their end users are having conversations. About You 5+ years of experience as a Software Engineer and proficient with backend technologies (with a strong preference for Python) Understanding of databases such as MongoDB, PostgreSQL, ElasticSearch and in-memory stores such as Redis Experience with 3rd party LLMs, such as GPT, Azure, Anthropic etc. A good understanding and direct experience with CCaaS, SIP, WebRTC, IVR, and Telephony ecosystems, including knowledge of VoIP protocols and contact centre technologies is a benefit. Experience deploying code and strong developer operations Experience working with public APIs to build reliable third-party integrations Collaborative leadership style to help the team grow and deliver high quality code Outcomes Execute on our ambitious product roadmap Provide your perspective and ideas to help level up our current development practices Review the team’s code, provide insightful feedback, foster collaborative community and teach everyone something new Ensure that the team is providing the best AI Agent platform experience to our internal developers and external partners Participate in an on-call rotation for the services the team owns, triaging and addressing production issues The expected salary range for this position is $135,000 - $170,000. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.Benefits & Perks At Ada, you’ll not only build extraordinary products but also thrive in an environment designed for your success. We prioritize your well-being, growth, and work-life balance. Here’s what we offer: Benefits Unlimited Vacation: Recharge when you need to. Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance. Wellness Account: Empowering you to invest in your overall well-being and lifestyle. Employee & Family Assistance Plan: Resources to support you and your loved ones. Perks Flexible Work Schedule: Balance your work and personal life. Remote-First, In-Person Friendly: Options to work from home or at our local hub. Learning & Development Budget: Invest in your long-term growth goals and skills. Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience. Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry. Hands-On with LLMs: Enhance your expertise in leveraging large language models. A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology. The above Benefits and Perks only apply to full-time, permanent employees. Thank you for your interest in joining us at Ada. Due to the high volume of applications, we will only contact candidates whose qualifications match closely to the requirements of the position. We appreciate the time you have invested in learning more about us.

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role As an Avionics Systems Engineer for Mission Systems, you will be responsible for the development and delivery of mission computing hardware, working closely with industry partners. You will be responsible not only for defining the system, but also driving it through all development stages and ultimately onto the flying platform. In achieving this goal you will work with a diverse, high-calibre team of experts, strategists and partners. The day-to-day Lead the technical development of high performance Mission Computer Hardware in close collaboration with internal teams and partners Plan and lead the execution of the systems engineering lifecycle, from requirements development to qualification. Plan and lead the preparation of technical deliverables and documentation Plan test activities and support the development of test facilities Create the certification and compliance documentation and ensure adherence to aviation and regulatory standards throughout the development lifecycle Work closely with internal and external stakeholders Provide regular reporting on project status and technical changes to Chief Engineering and Programme Management You should apply if you Hold a relevant degree such as a Bachelor's or Master's in Aerospace Engineering, Electrical Engineering, Computer Science, or a related field Have led the design and development of Integrated Modular Avionics (IMA) computing platforms for airborne mission computers, including tasks related to systems engineering, certification, and avionics integration Are a subject matter expert in military open standards for avionics, for example, MOSA, SOSA, FACE and Pyramid and their application to hardware development Have a deep knowledge of the development of avionics complex HW & SW development and have experience in the application of DO-178C, DO-254 and DO-297 standards Have operational experience with mission systems is an advantage Possess excellent communication skills and the ability to report and present results clearly and effectively to both internal and external stakeholders. Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one    Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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The Opportunity AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives. Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production. As an AI Solutions Manager, you’ll partner with some of the most innovative AI/ML teams in the world. You’ll play a pivotal role in driving adoption, shaping product use cases, and ensuring our customers succeed in leveraging AI to achieve real-world impact. This role offers a unique chance to grow alongside a leading AI company and gain deep insights into cutting-edge AI/ML applications. The Team Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more.  As an AI Solutions Manager, your work will directly contribute to our customers’ success in deploying impactful AI solutions, ensuring their models achieve measurable business outcomes. We are looking for a fast-paced, client-obsessed candidate with an entrepreneurial mindset to nurture, and grow our customers. You’ll be working with Arize customers to help them improve the AI they use across their organizations. You will be in charge of driving customer adoption and managing customers through their renewal cycles. You’ll accomplish this by running an effective account plan, identifying expansion opportunities with new teams, and building solutions to help achieve their goals. You’ll be involved in exciting and complex customer use cases and leverage your business acumen to navigate the intricacies. What You’ll Do Build and deepen relationships with AI/ML users to foster adoption, uncover new use cases, and drive expanded usage across customer accounts. This includes regular touchpoints like weekly/bi-weekly calls and ongoing account management. Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions. Collaborate with technical teams, including Customer Success Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices. Run workshops and training sessions with customers during onboarding and new functionality Run QBRs to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships. Proactively monitor product usage across your accounts to further gauge account health Work closely with Account Management and Executive teams to identify upsell opportunities and align on customer health strategies. Effectively relay customer feature requests to internal teams and advocate for customer needs. Ensure support teams are aligned with customer requests and priorities. What We’re Looking For 3+ years of experience as a Customer Success Manager in SaaS. A self-starter mindset with the ability to thrive in limited process environments. Exceptional organizational skills with the ability to prioritize and manage multiple customer relationships effectively. Strong communication skills for articulating observations and fostering collaboration across teams. Proven ability to demo technical products and translate their value into tailored customer solutions. Thrives in fast-paced environments with a customer-first mindset and a focus on delivering measurable results. A strong team player who values collaboration and collective success. Bonus: Familiarity with AI/ML workflows or GenAI technologies. The estimated annual salary and variable compensation for this role is between $100,000 to $150,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.  More About Arize Arize’s mission is to make the world’s AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world. Learn more about Arize in an interview with our founders: https://www.forbes.com/sites/frederickdaso/2020/09/01/arize-ai-helps-us-understand-how-ai-works/#322488d7753c   Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

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We are looking for a technically adept Customer Success Manager to bolster our team and ensure the robust health, dependability, and progressive advancement of our platform ecosystem. You will collaborate with external users of our platform, and our internal team of machine learning scientists, protein engineers, and biologists. This role entails comprehensive ownership across the partner-facing aspects of our platform, driving adoption of new features, optimising performance for partner integrations, and developing roadmaps for internal feature development.Who we are:At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.We’re looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.Who You Are:You have a strong understanding of SaaS platforms and the ability to troubleshoot customer issues.You hold a bachelors degree or above in CS, engineering, ML or biology OR equivalent industry experience in a technical roleYou hold excellent written and verbal communication skills to effectively communicate technical and biological concepts to partners.You are a natural relationship builder, building and maintaining strong relationships with partners, and to work effectively with cross-functional teams.You are strong with analysing data, identifying trends, and developing strategies for improving partner performance, such as triaging feature requests and contributing to internal product roadmaps.You have the ability to adapt to changing partner needs and to learn new technologies quickly. What Sets You Apart:You have a background in biology and a keen understanding of AI solutions for life sciences and pharmaYour Responsibilities:Partner Onboarding and Adoption: Guiding partners through the initial stages of using the technology solution, ensuring they understand how to integrate it effectively and achieve desired outcomes.Technical Support and Troubleshooting: Responding to partner inquiries, addressing technical issues, and escalating complex problems to the appropriate internal teams.Product Development: Collect user feedback and triage feature requests, working with our internal team to develop roadmaps for future releases.,Configuration and Optimization: Helping partners configure and optimise their use of our platform to maximise its value.Relationship Management: Building and maintaining strong relationships with partners, acting as a trusted advisor and ensuring their needs are met.Performance Monitoring and Reporting: Tracking partner adoption rates, identifying areas for improvement, and reporting on key performance indicators (KPIs).Driving Business Growth: Working with partners to identify opportunities for growth and expansion, and to increase the overall value of the partnership.Training and Documentation: Creating and delivering training materials and documentation to ensure partners are well-equipped to use the technology solution effectively.You represent Latent Labs at key industry events spanning AI, biotechnology, and pharmaceuticals, including conferences and forums. Actively engage with prominent thought leaders to maintain a strong understanding of the evolving landscape of AI-driven drug discovery.Foster connections within the wider AI and biotech ecosystems, establishing Latent Labs as a respected voice in the field. Build a community by developing and nurturing relationships with academic researchers, AI experts, and other significant figures in the drug discovery sector.Apply:We offer strongly competitive compensation and benefits packages, including:Private health insurancePension/401(K) contributionsGenerous leave policies (including gender neutral parental leave)Hybrid workingTravel opportunities and moreWe also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

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About Woebot HealthWe’re a mission-driven startup reinventing the way people find peace and inspiration through dazzling digital experiences. Our team blends engineering, design, and product minds with a shared passion for building human-centered technology. Using the latest advances in language models, real-time interactions, and conversational design, we’re creating a next-generation digital companion that helps people feel seen, supported, and empowered - wherever they are, whenever they need it. With backing from top-tier investors and a bold vision for the future, we’re moving fast, learning constantly, and designing for real-world impact at scale.We believe the future of generative AI lies not in novelty, but in precision, nuance, and emotional resonance. If you’re driven by solving hard problems in applied AI and want to shape systems that genuinely serve people, we’d love to meet you.Why Join Us?Our company was founded by Alison Darcy, a clinical research psychologist and digital health entrepreneur. Among our earliest and most strategic backers is AI pioneer Andrew Ng, founder of AI Fund and deeplearning.ai. Backed by top-tier investors and powered by a hands-on team of passionate creators, we’re turning bold ideas into transformative digital care. This role will report to and collaborate closely with our founder, shaping the architecture and capabilities of our AI companion from the ground up. Joining our small but mighty core team means making an outsized and immediate impact on people’s wellness.The RoleOur LeadAI Engineer will help architect and evolve the “cognitive engine” of our platform. This role sits at the intersection of model tuning, inference optimization, and intelligent orchestration, focused on building adaptive systems that can shift modes fluidly depending on user needs.You’ll partner closely with our psychology, product, and infrastructure teams to:Lead fine-tuning of foundational models using efficient training techniques and custom datasetsDesign and implement model orchestration logic that determines when to retrieve, route, generate, or escalate across different conversational contextsBuild and iterate on eval frameworks for long-form, multi-turn interactions - prioritizing emotional coherence and user outcomes over token accuracyStay on top of rapid developments in LLMs, fine-tuning frameworks, and inference efficiency, translating that knowledge into actionChampion best practices for scaling training workflows, experimenting safely, and continuously learning from real-world feedbackWhile the company currently operates in a remote environment, we aspire to build a hybrid presence in the Bay Area, which may require relocation down the line. While we may prioritize talent based in the Bay Area, we are open to hiring top talent anywhere in the US.What You’ll DoAs a LeadAI Engineer, you will be responsible for architecting, optimizing, and evolving the “cognitive engine” of our AI companion. Your work will combine deep model training expertise with real-world experimentation, striking a balance between precision, nuance, and adaptability. You’ll collaborate across AI, product, and design to translate emotional and behavioral intent into reliable, scalable machine intelligence, and help define our technical roadmap in collaboration with the founder & engineering team.You will:Prompt Engineering & OptimizationDesign, iterate, and evaluate prompt strategies for complex multi-turn interactions using frameworks like DSPyBuild prompt libraries and A/B test variants to optimize for safety, clarity, and on-brand responsivenessLeverage prompt engineering as a short-term strategy where fine-tuning is not yet appropriate, with a clear view on trade-offAgentic Reasoning & OrchestrationEvaluate and integrate modular orchestration strategies (e.g., LangGraph, LlamaIndex, Letta, PydanticAI), forming a perspective on their relevance and scalabilityDesign systems that can switch between reflection, coaching, or directive states based on context, using either routing logic or learned behaviorCollaborate with the product team to define how tools, memory, and reasoning modules interact without overcomplicating the user experienceModel Fine-Tuning & OptimizationOwn parameter-efficient fine-tuning pipelines (e.g., LoRA, QLoRA) to adapt foundational models to brand-specific voice, tone, and emotional rangeCurate high-quality datasets and design eval metrics tailored to coherence, empathy, and state consistency across sessionsExplore model compression, quantization, and inference optimization for low-latency voice and mobile interactionsExperimental Thinking & EvaluationDesign lightweight experiments to validate technical approaches and measure outcomes beyond accuracy (e.g., trust, emotional congruence)Partner with domain experts to implement human-in-the-loop annotation systems where automation falls shortShip prototypes and production features rapidly, with a build-learn-refine approachWhat We’re Looking ForDeep Technical Fluency5+ years in AI/ML engineering, with at least 2 years of hands-on fine-tuning large language modelsDemonstrated expertise in applied AI within early-stage startups or product teams - you can speak to the lived experience of leading teams and projects through rapid growth and production.Strong understanding of the trade-offs between fine-tuning, tool invocation, prompt orchestration, and hybrid approachesProficiency with model training workflows, scalable data pipelines, and LLM evaluation techniquesPractical experience with low-latency inference environments and model optimization strategies (quantization, compression, routing logic)Comfortable in Python and modern ML tooling; experienced deploying models to production environmentsProduct-Oriented ThinkerAbility to translate product or psychological intent into model architecture or training strategyPrior work in behavioral health, mental wellness or adjacent domains, demonstrating sensitivity to emotionally resonant interactions.Experimental mindset with a bias toward measurable learning and iterative improvementStrong communicator who can explain the “why” behind the “how” to technical and non-technical partners alikeDemonstrated curiosity for emerging methods and a track record of staying current on deep learning advancementsCollaborative, Bold & HumbleTeam-first engineer who values listening as much as leading, who can mentor engineers in best practices while staying open to feedbackComfortable with challenging ideas while seeking the best solution, not creditMotivated by impact and aligned to our mission of building AI that helps peopleAdaptable to small-team dynamics and comfortable operating as the technical leader in a flat team structure, collaborating closely with product & engineering teams.Bonus if You HaveExperience at AI-first companiesExperience building products in the behavioral health or digital wellness space.Knowledge of conversational state management, memory systems, or emotional alignment in LLMsExposure to orchestrated AI frameworks or modular agentic architecturesWhat We OfferCompensation: $180,000 - $225,000 base + equityBenefits: Medical, dental, and vision for you and your family Time Off: Flexible PTO and mental wellness supportLearning Stipend: Annual budget for courses, conferences, or certificationsRemote Support: One-time home office setup stipendSecurity: Company-sponsored life and disability insurance + 401(k)We are committed to fostering an inclusive and equitable workplace. Compensation decisions are based on a variety of factors, including location, skills, experience, and various market benchmarks.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do:Drive the operational framework to build with and support our customers: As a foundational member of our Technical Program Manager function at Sierra, you will be responsible for partnering with our Agent Development Product Managers and Agent Engineers to scope, build, and ship AI agents that handle thousands of customer conversations a day.In this role, you will engage with all levels of our customers’ businesses and internal partners to:Drive execution and delivery of multiple complex, high-visibility agent development projects.Coordinate across technical and non-technical stakeholders through the full agent development lifecycle process.Co-own project planning process including creating and prioritizing roadmaps, aligning milestones and expected outcomes, and identifying and mitigating risks.Ensure clear communication across all stakeholders while developing strong relationships.Contribute data-driven, strategic insights to project and internal team decisions.Collaborate with internal cross-functional teams to share out periodic updates about our customers.What you'll bring:Project Management Skills: Deep experience leveraging project management methodologies and tools to masterfully orchestrate projects from planning to delivery, ensuring on-time completion.Outstanding Communication Skills: Excellent verbal and written communication skills to convey complex technical information to non-technical stakeholders, fostering collaboration and driving projects forward with clarity.Technical Expertise: Strong understanding of software development, product management and engineering principles, enabling you to act as a strategic partner to customers and internal teams as we turn visionary ideas into agents.Problem-Solving and Analytical Skills: Strong analytical and critical thinking skills to grasp complex concepts, and to identify risks and issues, develop mitigation strategies, and handle unexpected challenges across customer relationships and products.Leadership and Team Management: Proven ability to manage multiple projects simultaneously, leading and inspiring teams to deliver innovative ideas and exceptional agents.Organizational Systems: Experience implementing and using project management applications like Height, Asana, Notion, Atlassian or others.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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Why you should join usTandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have:Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every day, is doubling doctor users every quarter, and is working with the largest biopharma companies in the world.An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time.Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators.Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.All full-time roles are in person in New York. You can learn more about working with us in the last section of this page.About the roleTandem’s Life Sciences team partners with the world’s leading biopharma companies to get more patients on therapy faster—leveraging real-time data, AI, and operational rigor to unblock access and demonstrate impact. We work at the intersection of strategy, operations, and client engagement to drive outcomes that matter and make our partners wildly successful.As a Life Sciences Strategy Lead, you will own the post-sale success, growth, and long-term impact of our most important biopharma relationships. These are multi-brand, multi-year partnerships that sit at the center of our business and require a mix of structured problem-solving, cross-functional leadership, and executive communication. You’ll launch new programs, lead internal and client-facing teams, build scalable systems, and serve as a trusted thought partner to clients and colleagues alike.This is a high-autonomy, high-responsibility role. You’ll be expected to act like an owner and help shape Tandem’s future. If you’re low-ego, hungry to learn, and energized by fast-paced, high-impact work, we’d love to hear from you.If you join, you will:Own the post-sale success of strategic biopharma accounts—including onboarding, pilot execution, performance tracking, and client reportingAct as Tandem’s day-to-day lead across multiple client teams — including commercial, field, access, and data stakeholdersCollaborate closely with our product, engineering, data, and delivery teams to coordinate execution and ensure consistent impact for clientsDrive retention and expansion within accounts by delivering tangible outcomes, sharing insights, and building trust across functionsDesign scalable processes for managing multi-workstream accounts with 7–8 figure contract value and help build our client success function as we growExplore, evaluate, and execute on new opportunities for the company, including strategic partnerships and new products and servicesWork closely with the rest of our team and CEO to make business decisions as we balance speed of growth and long-term profitabilityWe’ll be most excited if you have:6–10 years in client strategy, delivery operations, partnerships, or customer success—ideally in complex, multi-stakeholder environmentsBackground in life sciences consulting, data platforms, digital health, or pharma-adjacent strategy rolesExecutive presence and fluency — able to engage senior leaders across functions and drive alignment in ambiguous environmentsComfort working with data and technical teams (at minimum the role requires learning SQL and low-code tools)Strong written and verbal communication that allows you to be an effective participant in both internal debates and external relationshipsTrack record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goalsHigh NPS with your former teammatesThis is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.Working with usTandem is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:Commit to audacity. "Whether you think you can, or you think you can't – you're right.”Do the math. Be rigorous, assume nothing.Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose.Spit it out. Be direct, invite critique, avoid equivocation – we want right answers.Be demanding and supportive. Expect excellence from everyone and offer help to achieve it.Do what it takes to be number 1. We work hard to make sure we win.We provide competitive compensation with meaningful equity (for full-time employees). Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay.We also provide rich benefits to ensure you can focus on creating impact (for full-time employees):Fully covered medical, vision, and dental insurance.Memberships for One Medical, Talkspace, Teladoc, and Kindbody.Unlimited paid time off (PTO) and 16 weeks of parental leave.401K plan setup, FSA option, commuter benefits, and DashPass.Lunch at the office every day and Dinner at the office after 7 pm.Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Tandem (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Tandem is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.