Top Machine Learning Engineer Jobs Openings in 2025

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?Our team is a fast-growing group of researchers and engineers focused on building reliable ML systems and pushing the boundaries of LLM inference efficiency. We develop techniques that improve how models execute in production, driving lower latency, higher throughput, and consistent quality across diverse workloads.As an engineer on this team, you’ll work across the inference stack to improve core performance metrics by diving deep into model execution, identifying bottlenecks, and developing innovative optimizations. You’ll collaborate closely with modeling and systems teams to experiment, measure, and ship improvements that meaningfully accelerate inference. As the team evolves, you’ll have opportunities to build expertise in advanced performance techniques, including GPU/CUDA optimizations, kernel-level improvements, and model execution strategies for MoE and large-scale architectures.Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations. You may be a good fit for the Model Efficiency team if you have:5+ years of experience writing high-performance, production-quality codeStrong programming skills in C++ or Python (Rust/Go also welcome)Experience working with large language models and familiarity with the LLM inference ecosystem (e.g., vLLM, SGLang, etc.)Ability to diagnose and resolve performance bottlenecks across the model execution stackA strong bias for action — you ship fast, measure impact, and iterateIt’s a big plus if you have experience with:GPU programming, CUDA, or low-level systems optimizationLanguage modeling with transformers (MoE, speculative decoding, KV-cache optimizations)Scaling performance-critical distributed systems (e.g., computation, search, storage)If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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About Us:webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.About the Role:We are seeking an Applied AI Engineer to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure and distributed environments. This role sits at the intersection of machine learning, systems engineering, and deployment optimization, bridging research and real world implementation.You will be responsible for transforming prototype models into scalable, efficient, and reliable production systems that operate seamlessly across a spectrum of hardware from government cloud infrastructure to edge devices in restricted or disconnected environments. Responsibilities:Productionize AI models from research prototypes into scalable, deployable systems used in real world applications.Develop, fine tune, and optimize models using PyTorch, TensorFlow, or Hugging Face Transformers, adapting both open and closed source models.Implement model optimization techniques such as quantization, pruning, distillation, and hardware specific acceleration.Engineer systems for dynamic model adaptation using low rank adaptation (LoRA), parameter efficient fine tuning (PEFT), and on device inference strategies.Build and maintain Retrieval Augmented Generation (RAG) pipelines, including vector database integration for contextual retrieval.Work with multi modal AI systems across computer vision, audio, and natural language domains.Employ synthetic data generation and digital twinning techniques (GANs, diffusion models, or simulation based) to create robust datasets for edge cases.Develop GPU accelerated and low level system code in C, C++, or Rust for performance critical operations.Optimize model execution for distributed and resource constrained environments, ensuring reliability under variable connectivity conditions.Collaborate cross functionally with Infrastructure, MLOps, and Security teams to deliver secure, compliant, and high performance AI solutions for government partners.Qualifications:Active US Security clearance or eligibility and willingness to obtain a US Security clearance5+ years of experience in applied AI, ML engineering, or production AI systems.Deep proficiency in PyTorch, TensorFlow, or Hugging Face Transformers.Proven experience deploying AI models across cloud, edge, and mobile hardware environments.Expertise in model compression and optimization (quantization, pruning, distillation).Strong understanding of GPU computing, CUDA, and performance profiling.Experience building RAG pipelines and integrating vector databases (e.g., FAISS, Milvus, Pinecone).Familiarity with multi modal models and synthetic data generation methods.Low level programming experience in C, C++, or Rust with understanding of computer memory and concurrency.Strong algorithmic and problem solving skills, especially in distributed or constrained compute environments.Preferred SkillsExperience with edge AI, federated learning, or offline inference systems.Familiarity with distributed training frameworks such as DeepSpeed or Ray.Understanding of AI governance and compliance frameworks relevant to public sector deployments.Experience integrating models into large scale distributed systems or microservice architectures.Excellent communication and technical documentation skills for collaboration across multi disciplinary teams.We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.401k Match (US-based only)$200/mos Health and Wellness Stipend$400/year Continuing Education Credit$500/year Function Health subscription (US-based only)Free parking, for in-office employeesUnlimited Approved PTOParental Leave for Eligible EmployeesSupplemental Life Insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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About IdeogramIdeogram’s mission is to make world-class design accessible to everyone, multiplying human creativity. We build proprietary generative media models and AI native creative workflows, tackling unsolved challenges in graphic design. Our team includes builders with a track record of technology breakthroughs including early research in Diffusion Models, Google’s Imagen, and Imagen Video. We care about design, taste, and craft as much as research and engineering – shipping experiences that creatives actually love.We’ve raised nearly $100M, led by Andreessen Horowitz and Index Ventures. Headquartered in Toronto with a growing team in NYC, we're scaling fast, aiming to triple over the next year. We're a flat team with a culture of high ownership, collaboration, and mentorship. Explore Ideogram 3.0, Canvas, and Character blog posts, and try Ideogram at ideogram.ai.About The RoleAs Ideogram’s first Forward Deployed Engineer, you will be instrumental in delivering state-of-the-art generative image and design technology to enterprise customers with unique requirements. You’ll collaborate directly with customers to design, prototype, develop, and deploy integrations, bringing Ideogram’s models into production environments. This includes applications in on-brand custom models, design and marketing workflows, and the development of entirely new product experiences. You will transfer customer insights and engineering implementations to the product engineering team, integrating them into the Ideogram Product where common customer needs are identified.What You Will Be DoingPrototype and Workflow Development: Design, build, and rapidly iterate on prototypes and workflows using Python, our APIs, and open source models to ship bespoke solutions for customers with unique requirements. Direct Customer Engagement: Work closely with customer teams to understand their challenges and optimize their use of Ideogram's models. Optimization and Experimentation: Push the boundaries of what's possible with image generation via prompt engineering, dataset curation and refinement, model fine-tuning, and other innovative research and engineering ideas. Connecting Product and Customer: Translate customer feedback and insights into actionable product ideas, developer tools, and enhanced APIs, accelerating progress for all. Establishing Repeatable Processes: Build reusable internal assets, including sample applications, demo frameworks, and technical documentation, to streamline and strengthen future integrations.What We’re Looking ForA track record of successfully developing and deploying AI projects and prototypes.Proficiency in Python and a solid understanding of data structures, algorithms, and API integration. Capable of building, deploying, and debugging API endpoints.Technical aptitude to understand the parameters of our image generation models and their downstream applications.Experience working directly with customers in a technical capacity, whether through professional roles or personal projects.Excellent communication and problem solving skills, with an ability to think from first principles and collaborate to overcome obstacles.Ability to break down open-ended, complex projects and take end to end ownership of them.Willingness and ability to travel for on-site engagements with customers around the world.Nice to HavesExperience with deploying and running open source models on cloud VMs.2+ years of experience in a Software Engineering/ML Engineering role.Excitement for generative AI and how it can transform creativity and design.Our CultureWe’re a team of exceptionally talented, curious builders who love solving tough problems and turning bold ideas into reality. We move fast, collaborate deeply, and operate without unnecessary hierarchy, because we believe the best ideas can come from anyone.Everyone at Ideogram rolls up their sleeves to make our products and our customers successful. We thrive on curiosity, creativity, and shared ownership. We believe that small, dedicated teams working together with trust and purpose can move faster, think bigger, and create amazing things.Ideogram is committed to welcoming everyone — regardless of gender identity, orientation, or expression. Our mission is to create belonging and remove barriers so everyone can create boldly.What We Offer💸Competitive compensation and equity designed to recognize the value and impact of your contributions to Ideogram’s success. 🌴 4 weeks of vacation to recharge and explore. 🩺 Comprehensive health, vision, and dental coverage starting on day one. 💰 RRSP/401(k) with employer match up to 4% to invest in your future from the moment you join. 💻 Top-of-the-line tools and tech to fuel your creativity and productivity. 📍 Toronto HQ perks: Steps from Union Station and the PATH, with team lunches every Tuesday and dinners every Thursday. 🔍 Autonomy to explore and experiment — whether you’re testing new ideas, running large-scale experiments, or diving into research, you’ll have access to compute/resources you need when there’s a clear business or creative use case. We encourage curiosity and bold thinking. 🌱 A culture of learning and growth, where curiosity is encouraged and mentorship is part of the journey. 🏡 Fully remote flexibility across North America, with regular in-person team meetups and collaboration opportunities.

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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 US Law, 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 an academic degree in Law (Bachelor, J.D., LLM, FLLM) within the US context. You have at least 1 year of professional experience in one or more of the following practice areas: General Law, Constitutional Law, Corporate and Commercial Law, Employment and Labor Law, Taxation and Financial Regulation, Intellectual Property Law, Criminal Law, International Law, Contract Law, Civil Law. 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 $60/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 Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why Join Us We’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands-on, customer-facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization. You’ll own the end-to-end lifecycle of AI agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance. What you’ll be doing Build & Deploy Agents: Own the full AI agent build process - prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement: Lead weekly demos, show progress, gather feedback, and act as the primary technical point of contact once a solution is defined. Systems Integration: Configure APIs, data maps, authentication, error handling, and connect to CRMs, databases, or knowledge systems. Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality. Optimization: Monitor performance, refine prompts, test iteratively, and ensure agents meet automation and containment targets. Strategic Partner: Translate customer requirements into actionable solutions; work consultatively to unblock challenges in security, connectivity, or knowledge ingestion. Shadow Core Engineering: Collaborate with product/engineering teams for deep technical fixes and platformization, while independently leading client delivery. What you'll bring to the role 3+ years in conversational AI, ML engineering, or system integration with hands-on delivery of AI/LLM-based solutions. Strong skills in prompt engineering, workflow building, API integration, and telephony (SIP, Twilio, Amazon Connect, etc.). Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.). ML expertise in embeddings, retrieval-augmented generation (RAG), evaluation frameworks, fine-tuning models, and performance optimization. Solid programming skills (Python, JavaScript, or similar). Comfort leading customer-facing discussions - from deep technical troubleshooting to weekly project demos. Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems. Bachelor’s degree in Computer Science, Engineering, or a related technical field Hands-on experience with Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficient in API integrations and data flow management. Strong experience in telephony integrations, including knowledge of protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

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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 Physics, 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 Physics and/or in relevant area. You have at least 1 year of professional experience with focus in one of the following fields: Astrophysics, Condensed Matter Physics, Electromagnetism and Photonics, High-energy particle physics, Optics and Acoustics, General Physics, Quantum Mechanics, Relativistic Mechanics, Statistical Mechanics. 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 $34/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 IdeogramIdeogram’s mission is to make world-class design accessible to everyone, multiplying human creativity. We build proprietary generative media models and AI native creative workflows, tackling unsolved challenges in graphic design. Our team includes builders with a track record of technology breakthroughs including early research in Diffusion Models, Google’s Imagen, and Imagen Video. We care about design, taste, and craft as much as research and engineering – shipping experiences that creatives actually love.We’ve raised nearly $100M, led by Andreessen Horowitz and Index Ventures. Headquartered in Toronto with a growing team in NYC, we're scaling fast, aiming to triple over the next year. We're a flat team with a culture of high ownership, collaboration, and mentorship. Explore Ideogram 3.0, Canvas, and Character blog posts, and try Ideogram at ideogram.ai.The OpportunityAs a Machine Learning Research Intern (Summer 2026), you’ll join the small team that built Ideogram’s foundation models. You’ll push the frontier of visual generative models and ship ideas that reach millions of creators. You’ll work alongside researchers who trained our world-class text-to-image model and pushed the state of the art in image captioning, diffusion conditioning beyond text, and layout and typography.What We’re Looking ForCurrently pursuing a PhD or Master’s in Computer Science, Machine Learning, Computer Vision, Graphics, Natural Language Processing, or a related field (exceptional undergraduates considered).Deep learning fundamentals in generative models; familiarity with Transformers and diffusion models.Ability to read research papers, translate ideas into high-quality code, and communicate results clearly to peers.Strong Python skills and proficiency in a major DL framework (JAX preferred; PyTorch experience welcome with willingness to learn JAX).Interest in the creative industry and image generation for design and passion for making research land in a real product.Prior publications, impactful open-source contributions, or strong project write-ups demonstrating research experience.Our CultureWe’re a team of exceptionally talented, curious builders who love solving tough problems and turning bold ideas into reality. We move fast, collaborate deeply, and operate without unnecessary hierarchy, because we believe the best ideas can come from anyone.Everyone at Ideogram rolls up their sleeves to make our products and our customers successful. We thrive on curiosity, creativity, and shared ownership. We believe that small, dedicated teams working together with trust and purpose can move faster, think bigger, and create amazing things.Ideogram is committed to welcoming everyone — regardless of gender identity, orientation, or expression. Our mission is to create belonging and remove barriers so everyone can create boldly.What We Offer💸Competitive compensation and equity designed to recognize the value and impact of your contributions to Ideogram’s success. 🌴 4 weeks of vacation to recharge and explore. 🩺 Comprehensive health, vision, and dental coverage starting on day one. 💰 RRSP/401(k) with employer match up to 4% to invest in your future from the moment you join. 💻 Top-of-the-line tools and tech to fuel your creativity and productivity. 📍 Toronto HQ perks: Steps from Union Station and the PATH, with team lunches every Tuesday and dinners every Thursday. 🔍 Autonomy to explore and experiment — whether you’re testing new ideas, running large-scale experiments, or diving into research, you’ll have access to compute/resources you need when there’s a clear business or creative use case. We encourage curiosity and bold thinking. 🌱 A culture of learning and growth, where curiosity is encouraged and mentorship is part of the journey. 🏡 Fully remote flexibility across North America, with regular in-person team meetups and collaboration opportunities.

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About Eudia:   Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster, manage risk more effectively, and unlock new business value. Backed by $105M in Series A funding led by General Catalyst, we’re building a category-defining platform that blends AI-driven automation with human expertise, transforming legal from a cost center into a strategic growth driver.    At Eudia, we move fast. Unlike traditional enterprise software, our teams ship solutions in days, not months—delivering real impact for some of the world’s largest companies, including Cargill, Coherent, DHL, and Duracell. We’re solving one of the most complex, unsolved challenges in AI: bringing trust, accuracy, and security to legal automation.    We’re a team of builders, operators, and problem-solvers who are passionate about reshaping an industry that has long been resistant to change. If you’re looking for a place where you’ll be challenged, take ownership from day one, and work alongside some of the brightest minds in AI and legal —we’d love to meet you.    About the Role:   We are looking to hire a solutions-minded, AI-focused engineer to join our growing team in Palo Alto. In this role, the candidate will seize a unique opportunity to work with data from Fortune 500 companies' legal and risk departments, developing the most secure, enterprise-grade software using the latest in Generative AI. The opportunity to tackle challenges in creating cloud-agnostic solutions, maintaining stringent security and compliance standards, and building scalable, resilient platforms for enterprise applications, data, AI, and search also exist while you will be able to routinely innovate on behalf of our customers, collaborating with the world's top legal and risk experts, as well as preeminent business, technology, AI professionals, and engineers.   Key Responsibilities: Work closely with customers to understand and address their AI/ML challenges, designing and deploying custom solutions that leverage company technologies.  Act as the primary technical contact, providing hands-on support during deployment and ensuring successful integration. Collaborate with product management and engineering to convey customer feedback, influencing AI/ML product roadmaps.  Lead the deployment of AI/ML solutions, ensuring smooth integration and ongoing optimization. Provide technical training to clients, identify challenges in AI/ML deployments, and proactively improve model performance. Maintain clear communication with all stakeholders, providing regular updates on progress and outcomes.   Qualifications: Master’s or Ph.D. in Computer Science, Machine Learning, AI, Mathematics, Statistics, or a related field. 2-5 years of experience in AI/ML engineering, data science, or a similar role, with a strong background in deploying and integrating AI/ML solutions in real-world environments. Proficiency in LLMs, RAGs, evaluation techniques, and machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages such as Python.  Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and ML services is essential. Strong problem-solving skills in diagnosing and resolving AI/ML model issues, including model drift, data quality challenges, and performance optimization. Experience in client-facing roles, with excellent communication and interpersonal skills, and the ability to build strong relationships with customers while guiding them through the AI/ML deployment process. Familiarity with MLOps practices and tools (e.g., MLflow) and experience in model deployment, monitoring, and continuous integration/continuous deployment (CI/CD) of AI/ML solutions. A passion for AI/ML technologies and a desire to work on innovative solutions that drive significant impact for customers.   Preferred Qualifications: Familiarity with applying artificial intelligence and machine learning techniques in customer deployments, particularly in areas such as data analysis, predictive modeling, or automation. A background in deploying and supporting software solutions within legal technology or complex enterprise environments, with an understanding of industry-specific challenges and requirements.   Why You’ll Love Working Here: Impactful Work: Be part of a team that’s at the forefront of AI innovation. Growth Opportunities: Work in an environment that encourages professional growth and the exploration of new ideas. Dynamic Culture: Join a group of passionate, driven individuals who are committed to making a difference. If you’re ready to take on the challenge and make an impact in a rapidly evolving industry, we want to hear from you! -- Compensation Range: $130,000 - $220,000 The posted salary range is based on our research for companies of our stage and size while in compliance with California law. This is a base salary compensation range and we encourage those who are interested to apply and have an initial discussion.

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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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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 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

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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 AI Engineer – Evaluations at Hippocratic AI, you’ll define and build the systems that measure, validate, and improve the intelligence, safety, and empathy of our voice-based generative healthcare agents.Evaluation sits at the heart of our model improvement loop — it informs architecture choices, training priorities, and launch decisions for every patient-facing agent. You’ll design LLM-based auto-evaluators, agent harnesses, and feedback pipelines that ensure each model interaction is clinically safe, contextually aware, and grounded in healthcare best practices.You’ll collaborate closely with research, product, and clinical teams, working across the stack — from backend data pipelines and evaluation frameworks to tooling that surfaces insights for model iteration. Your work will directly shape how our agents behave, accelerating both their reliability and their real-world impact.What You'll Do:Design and build evaluation frameworks and harnesses that measure the performance, safety, and trustworthiness of Hippocratic AI’s generative voice agents.Prototype and deploy LLM-based evaluators to assess reasoning quality, empathy, factual correctness, and adherence to clinical safety standards.Build feedback pipelines that connect evaluation signals directly to model improvement and retraining loops.Partner with AI researchers and product teams to turn qualitative gaps into clear, defensible, and reproducible metrics.Develop reusable systems and tooling that enable contributions from across the company, steadily raising the quality bar for model behavior and user experience.What You BringMust Have:3+ years of software or ML engineering experience with a track record of shipping production systems end-to-end.Proficiency in Python and experience building data pipelines, evaluation frameworks, or ML infrastructure.Familiarity with LLM evaluation techniques — including prompt testing, multi-agent workflows, and tool-using systems.Understanding of deep learning fundamentals and how offline datasets, evaluation data, and experiments drive model reliability.Excellent communication skills with the ability to partner effectively across engineering, research, and clinical domains.Passion for safety, quality, and real-world impact in AI-driven healthcare products.Nice-to-Have:Experience developing agent harnesses or simulation environments for model testing.Background in AI safety, healthcare QA, or human feedback evaluation (RLHF).Familiarity with reinforcement learning, retrieval-augmented evaluation, or long-context model testing.If you’re excited by the challenge of building trusted, production-grade evaluation systems that directly shape how AI behaves in the real world, we’d love to hear from you.Join Hippocratic AI and help define the standard for clinically safe, high-quality AI evaluation 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

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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 AI Engineer at Hippocratic AI, you’ll play a pivotal role in shaping the future of voice-based generative AI in healthcare. You’ll design and build the intelligent systems that power our clinically safe healthcare agents, working at the intersection of large language models, real-time voice, and human-centered product design.This is a deeply hands-on and cross-functional role, partnering closely with AI researchers, product managers, and clinical experts to bring advanced language and speech models into production. From building scalable RAG and multi-agent pipelines to conversational interactions, your work will directly influence how patients and providers safely interact with generative AI at scale.We’re looking for experienced engineers who are passionate about AI in the real world—people who love taking cutting-edge research, turning it into robust products, and advancing the frontier of what’s possible in safe, agentic healthcare systems.What You'll Do:Design, build, and optimize production-grade AI pipelines that power our voice-based generative healthcare agents—from retrieval-augmented generation (RAG) to multi-step reasoning systems.Collaborate cross-functionally with product, clinical, and engineering teams to translate healthcare workflows into safe, scalable, and human-centered AI experiences.Prototype and deploy zero-to-one features using state-of-the-art LLMs, retrieval systems, and streaming architectures—balancing innovation with reliability.Develop and refine AI-native workflows that support real-time, conversational, and long-running interactions across diverse healthcare contexts.Drive continuous improvement in model evaluation, safety testing, and observability, ensuring every agent interaction meets clinical safety standardsWhat You BringMust Have:3+ years of professional experience in software, ML, or AI engineering.Proven track record building and shipping AI- or ML-powered products in production environments.Strong programming skills in Python with experience in distributed systems, APIs, and data pipelines.Deep understanding of prompt engineering, vector databases, and retrieval systems (RAG), voice agents or willingness to learn rapidly.Experience with cloud environments (AWS/GCP/Azure) and modern DevOps practices (Terraform, CI/CD, monitoring).Excellent communication, cross-functional collaboration, and an ability to move fast in high-impact domains.Nice-to-Have:Experience building or deploying LLM-based or multi-agent systems at scale.Hands-on work with speech recognition, text-to-speech, or streaming architectures for real-time AI experiences.Prior exposure to healthcare, safety-critical domains, or regulated product development.If you’re an AI engineer who thrives at the intersection of cutting-edge research and real-world product impact, we’d love to hear from you.Join Hippocratic AI and help shape the future of clinically safe, voice-enabled AI systems that are already transforming patient care at scale.***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

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AI Engineer (Full-time, Contractor)Title: AI Engineer Location: Remote (North America) Hours: Pacific Time Zone Compensation: $150k-$200k/year (DOE, location) Job Type: Contractor, 40 hr/week About the CompanyOur client is a neuroscience-based technology company that uses a simple, positive approach to health behavior change based on the science of habit formation. Dedicated to helping people feel better, we offer technology that leverages mindset, practice, and iteration—inviting people to test drive healthy, evidence-based habits, removing the guesswork and feelings of failure that often accompany lifestyle change. Our client empowers users to be unstoppable by iterating their way to better health. There is no "fail" — only practice and iteration.Empowering others to be unstoppable begins with fostering a sense of belonging both within and outside of our organization. Our leaders’ values of inclusivity create a workplace culture that encourages, supports, and celebrates diversity of all kinds, connecting us closer to the communities we serve.Our work culture is designed to encourage and support personal growth and development. Team members are challenged to contribute to a variety of initiatives with many opportunities to learn new skills, take on new projects, and embrace new roles. We measure our individual successes by how much we help others on the team, and we measure our impact by how we improve the lives of those we serve.We are a 100% remote team with headquarters on a 170-acre retreat in the Santa Cruz mountains in California. The company offers unlimited PTO, a highly flexible work schedule and an opportunity to work across many disciplines.About the RoleWe are looking for a driven and skilled AI Engineer to join our team. You'll play a key role in designing, building, and maintaining smart, scalable AI systems that directly impact our products and user experience. You’ll collaborate closely with product managers, software engineers, and data scientists to bring next-gen AI-driven features from prototype to production.Key ResponsibilitiesDesign & Development: Design, train, and validate machine learning models (e.g., classification, forecasting, recommendations) using real-world datasets.End-to-End Lifecycle Management (MLOps): Develop and maintain MLOps pipelines, integrating CI/CD, model monitoring, and version control to ensure reliability and scalability.Prototype & Deployment: Rapidly prototype AI features and deploy robust solutionsPerformance Optimization: Conduct hyperparameter tuning and efficiency testing to optimize for accuracy, latency, throughput, and resource utilization.Cross-Functional Collaboration: Work alongside product teams to translate business needs into practical AI solutions; clearly document and communicate methodologies and results.Ethics, Compliance & Monitoring: Ensure fairness, interpretability, and regulatory compliance in AI deployments. Implement monitoring strategies to detect model drift, bias, or performance degradation. Required QualificationsEducation: Bachelor’s degree in Computer Science, AI, Data Science, or related field; Master’s degree preferred.Experience: 2–4 years in machine learning, AI, or related engineering roles; demonstrated experience deploying models in production settings.Technical Skills:Familiarity with NLP, computer vision, or generative AI and LLMs (e.g. LangChain). Proficiency in Python (or Java/R)Hands-on with ML frameworks: TensorFlow, PyTorch, scikit-learn, Spark, etc.Cloud and DevOps tooling: Docker, AWS/GCP/Azure, Mlflow or equivalent MLOps toolsStrong in data engineering: ETL pipelines, SQL/NoSQL, data preprocessingSoft Skills: Excellent analytical thinking, communication skills, teamwork, adaptability, and attention to detail. Nice to HaveExperience contributing to open source AI projects or possessing industry-recognized certifications (e.g. Azure AI Engineer, Google ML Engineer, etc.).Domain expertise (e.g., AdTech, FinTech, Healthcare) that informs feature engineering and system design.Our client is an equal opportunity employer that condemns discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. We are committed to providing reasonable accommodations to qualified individuals.

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AI Engineer (Full-time, Contractor)Title: AI Engineer Location: Remote (North America) Hours: Pacific Time Zone Compensation: $150k-$200k/year (DOE, location) Job Type: Contractor, 40 hr/week About the CompanyOur client is a neuroscience-based technology company that uses a simple, positive approach to health behavior change based on the science of habit formation. Dedicated to helping people feel better, we offer technology that leverages mindset, practice, and iteration—inviting people to test drive healthy, evidence-based habits, removing the guesswork and feelings of failure that often accompany lifestyle change. Our client empowers users to be unstoppable by iterating their way to better health. There is no "fail" — only practice and iteration.Empowering others to be unstoppable begins with fostering a sense of belonging both within and outside of our organization. Our leaders’ values of inclusivity create a workplace culture that encourages, supports, and celebrates diversity of all kinds, connecting us closer to the communities we serve.Our work culture is designed to encourage and support personal growth and development. Team members are challenged to contribute to a variety of initiatives with many opportunities to learn new skills, take on new projects, and embrace new roles. We measure our individual successes by how much we help others on the team, and we measure our impact by how we improve the lives of those we serve.We are a 100% remote team with headquarters on a 170-acre retreat in the Santa Cruz mountains in California. The company offers unlimited PTO, a highly flexible work schedule and an opportunity to work across many disciplines.About the RoleWe are looking for a driven and skilled AI Engineer to join our team. You'll play a key role in designing, building, and maintaining smart, scalable AI systems that directly impact our products and user experience. You’ll collaborate closely with product managers, software engineers, and data scientists to bring next-gen AI-driven features from prototype to production.Key ResponsibilitiesDesign & Development: Design, train, and validate machine learning models (e.g., classification, forecasting, recommendations) using real-world datasets.End-to-End Lifecycle Management (MLOps): Develop and maintain MLOps pipelines, integrating CI/CD, model monitoring, and version control to ensure reliability and scalability.Prototype & Deployment: Rapidly prototype AI features and deploy robust solutionsPerformance Optimization: Conduct hyperparameter tuning and efficiency testing to optimize for accuracy, latency, throughput, and resource utilization.Cross-Functional Collaboration: Work alongside product teams to translate business needs into practical AI solutions; clearly document and communicate methodologies and results.Ethics, Compliance & Monitoring: Ensure fairness, interpretability, and regulatory compliance in AI deployments. Implement monitoring strategies to detect model drift, bias, or performance degradation. Required QualificationsEducation: Bachelor’s degree in Computer Science, AI, Data Science, or related field; Master’s degree preferred.Experience: 2–4 years in machine learning, AI, or related engineering roles; demonstrated experience deploying models in production settings.Technical Skills:Familiarity with NLP, computer vision, or generative AI and LLMs (e.g. LangChain). Proficiency in Python (or Java/R)Hands-on with ML frameworks: TensorFlow, PyTorch, scikit-learn, Spark, etc.Cloud and DevOps tooling: Docker, AWS/GCP/Azure, Mlflow or equivalent MLOps toolsStrong in data engineering: ETL pipelines, SQL/NoSQL, data preprocessingSoft Skills: Excellent analytical thinking, communication skills, teamwork, adaptability, and attention to detail. Nice to HaveExperience contributing to open source AI projects or possessing industry-recognized certifications (e.g. Azure AI Engineer, Google ML Engineer, etc.).Domain expertise (e.g., AdTech, FinTech, Healthcare) that informs feature engineering and system design.Our client is an equal opportunity employer that condemns discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. We are committed to providing reasonable accommodations to qualified individuals.

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AI Engineer (Full-time, Contractor)Title: AI Engineer Location: Remote (North America) Hours: Pacific Time Zone Compensation: up to $150k/year (DOE) Job Type: Contractor, 40 hr/week About the CompanyOur client is a neuroscience-based technology company that uses a simple, positive approach to health behavior change based on the science of habit formation. Dedicated to helping people feel better, we offer technology that leverages mindset, practice, and iteration—inviting people to test drive healthy, evidence-based habits, removing the guesswork and feelings of failure that often accompany lifestyle change. Our client empowers users to be unstoppable by iterating their way to better health. There is no "fail" — only practice and iteration.Empowering others to be unstoppable begins with fostering a sense of belonging both within and outside of our organization. Our leaders’ values of inclusivity create a workplace culture that encourages, supports, and celebrates diversity of all kinds, connecting us closer to the communities we serve.Our work culture is designed to encourage and support personal growth and development. Team members are challenged to contribute to a variety of initiatives with many opportunities to learn new skills, take on new projects, and embrace new roles. We measure our individual successes by how much we help others on the team, and we measure our impact by how we improve the lives of those we serve.We are a 100% remote team with headquarters on a 170-acre retreat in the Santa Cruz mountains in California. The company offers unlimited PTO, a highly flexible work schedule and an opportunity to work across many disciplines.About the RoleWe are looking for a driven and skilled AI Engineer to join our team. You'll play a key role in designing, building, and maintaining smart, scalable AI systems that directly impact our products and user experience. You’ll collaborate closely with product managers, software engineers, and data scientists to bring next-gen AI-driven features from prototype to production.Key ResponsibilitiesDesign & Development: Design, train, and validate machine learning models (e.g., classification, forecasting, recommendations) using real-world datasets.End-to-End Lifecycle Management (MLOps): Develop and maintain MLOps pipelines, integrating CI/CD, model monitoring, and version control to ensure reliability and scalability.Prototype & Deployment: Rapidly prototype AI features and deploy robust solutionsPerformance Optimization: Conduct hyperparameter tuning and efficiency testing to optimize for accuracy, latency, throughput, and resource utilization.Cross-Functional Collaboration: Work alongside product teams to translate business needs into practical AI solutions; clearly document and communicate methodologies and results.Ethics, Compliance & Monitoring: Ensure fairness, interpretability, and regulatory compliance in AI deployments. Implement monitoring strategies to detect model drift, bias, or performance degradation. Required QualificationsEducation: Bachelor’s degree in Computer Science, AI, Data Science, or related field; Master’s degree preferred.Experience: 2–4 years in machine learning, AI, or related engineering roles; demonstrated experience deploying models in production settings.Technical Skills:Familiarity with NLP, computer vision, or generative AI and LLMs (e.g. LangChain). Proficiency in Python (or Java/R)Hands-on with ML frameworks: TensorFlow, PyTorch, scikit-learn, Spark, etc.Cloud and DevOps tooling: Docker, AWS/GCP/Azure, Mlflow or equivalent MLOps toolsStrong in data engineering: ETL pipelines, SQL/NoSQL, data preprocessingSoft Skills: Excellent analytical thinking, communication skills, teamwork, adaptability, and attention to detail. Nice to HaveExperience contributing to open source AI projects or possessing industry-recognized certifications (e.g. Azure AI Engineer, Google ML Engineer, etc.).Domain expertise (e.g., AdTech, FinTech, Healthcare) that informs feature engineering and system design.Our client is an equal opportunity employer that condemns discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. We are committed to providing reasonable accommodations to qualified individuals.

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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.   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.   #LI-AK1

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.Role OverviewWe’re looking for a founding member of Reflection’s Applied AI team, responsible for building our Forward Deployed Engineering function. This team plays a critical role in bridging our cutting-edge AI research with real-world enterprise deployments. As a founding Forward Deployed Engineer, you will own the end-to-end technical strategy, execution, and delivery of complex agentic applications, from early pre-sales discovery through production deployment.Key ResponsibilitiesPartner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications.Build agentic solutions leveraging state-of-the-art models, orchestrating complex LLM workflows, integrating with enterprise infrastructure, and deploying robust production systems.Collaborate with research teams to adapt and fine-tune models for customer-specific needs, contributing to our internal codebase for inference, fine-tuning, and evaluation.Lead end-to-end deployment across hybrid environments (public cloud, VPC, or on-premises), ensuring scalability, performance, and reliability.Shape the Forward Deployed Engineering organization by defining playbooks, processes, best practices, and technical foundations to support the team's growth.QualificationsStrong software engineering background with experience shipping production-grade systems (Python, Typescript)Proven track record of deploying enterprise software in cloud or hybrid environments using modern DevOps practices (Docker, Kubernetes, and CI/CD).Deep understanding of machine learning concepts and hands-on experience with modern AI stacks, including vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning.6+ years of software engineering experience, including 2+ years in a technical leadership capacity delivering AI-driven enterprise solutions (e.g., Lead Forward Deployed Engineer, Tech Lead, or Engineering Manager).Demonstrated ability and interest to work in customer-facing environments, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes.Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.