Top Machine Learning Engineer Jobs Openings in 2025

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About OumiWhy we exist:Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely.What we do:Oumi provides an all-in-one platform to build state-of-the-art AI models, end to end, from data preparation to production deployment, empowering innovators to build cutting-edge models at any scale. Oumi also develops open foundation models in collaboration with academic collaborators and the open community.Our Approach:Oumi is fundamentally an open-source first company, with open-collaboration across the community as a core principle. Our work is:Research-driven: We conduct and publish original research in AI, collaborating with our community of academic research labs and collaborators.Community-powered: We believe in the power of open-collaboration and welcome contributions from researchers and developers worldwide.Role OverviewWe’re looking for our first Pre/Post-Sales Machine Learning Engineer who bridges the gap between technical expertise and customer success. You’ll work closely with our customers to design, train, and deploy AI models using Oumi’s platform. This role blends solution architecture, applied machine learning, and customer interaction - ideal for someone who loves both building systems and helping others use them effectively.You’ll play an important role in shaping not only the direction of the team but also the product. You will collaborate closely with research, product, and engineering teams to ensure customers have a world-class experience using Oumi, while channeling feedback to improve our platform.You will:Drive success with customers: Partner with customers through the pre-sales and post-sales lifecycle - from technical demos and proof-of-concept design to hands-on training and deploying models. Create custom models: Train, fine-tune, and evaluate modern LLMs and other AI models using Oumi’s platform.Design AI solution architectures: Work with customers to design scalable ML workflows using best practices in data preparation, training, and deployment.Be a technical advocate: Help customers understand Oumi’s capabilities, providing technical insight and translating research innovations into practical solutions.Drive product improvements: Work closely with the product and research teams to surface customer needs and help shape the future of Oumi’s platform.Educate & Enable: Develop technical guides, demos, and best practices to help customers and the open community succeed with Oumi. What You’ll Bring:Experience: You have 4+ years of experience in applied ML, ML infrastructure, or solution/sales engineering roles.ML Expertise: You bring a solid understanding of machine learning workflows, with experience training or fine-tuning modern foundation models (e.g., LLMs, diffusion models, multimodal systems).Development Skills: You are proficient in Python with a strong understanding of AI/LLM best practices including practical experience with model training frameworks and using LLMs in production environments for modern use cases (e.g. RAG, agents, or agentic systems).Customer-Facing Strength: You have strong experience communicating complex technical concepts clearly and empathetically to both technical and non-technical audiences.Learners Mindset: You can proactively address gaps in your understanding of concepts and are willing to pick up whatever knowledge you're missing to get the job done.Operational Excellence: You can operate in and manage ambiguity while owning problems end-to-end.Values: You embody Oumi's core values: Beneficial for All, Customer-Ossessed, Radical Ownership, Exceptional Teammates, Science-Grounded.Benefits:Equity in a high-growth startupComprehensive health, dental, and vision insurance21 days PTORegular team offsites and eventsLocation:Remote or Hybrid work environment with offices in:Seattle, WAPalo Alto, CANew York, NY

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About Us: At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.The Role: As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions. Key Responsibilities: Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions. Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology. Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs. Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues. New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments. Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications. Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration. Minimum Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related technical field. 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles. Robust coding skills required, preferably with proficiency in Python. Demonstrated ability to lead and execute complex technical projects with a focus on customer success. Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams. Preferred Qualifications: Master’s degree in Computer Science, Engineering, or a related technical field. Experience working in a startup or fast-paced environment. Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT). Solid understanding of generative AI, machine learning principles, and enterprise infrastructure. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.Base Pay Range (Plus Equity)$170,000—$240,000 USDWhy Fireworks AI? Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

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About GPTZeroGPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and information integrity. Our team comes from high-performing engineering cultures, including Uber, Meta, Perplexity, Amazon, Affirm, and leading AI research labs, including Princeton, Caltech, MILA, and Vector.About this role:In this role, you'll build the next generation of AI tools that preserve and enhance critical thinking for humanity. The ideal candidate is someone who is adept at creating reliable AI agents, prompt engineering, possesses a great product sense, and is also an excellent software engineer. You'll be working on a fast-paced team of passionate builders to create industry-defining software that has attracted millions of users globally.What you'll contribute:Fine-tune and evaluate state-of-the-art language modelsOptimize prompts to maximize classification accuracy, personalize outputs, and enforce style guidelinesDevelop multi-agent workflows incorporating data from diverse sources using RAGImprove and iterate on AI agents using observability and experimentation toolsStay up-to-date with the latest literature and emerging technologies to solve novel problemsWork closely with product and design teams to develop intuitive applications that create societal impactQualifications3+ YOE in PythonExperience with LLM framework like Langchain or LlamaIndexExperience with agentic or RAG applicationsStrong exploratory data analysis (EDA) skills to effectively leverage data in a way that informs pragmatic solutionsExperience pushing the cutting-edge in LLM abilities on novel tasks with subjective outputsExcellent software engineer with experience building highly extensible and modular codebases, as well as complex pipelinesSelf-starter (pitch, plan, and implement as a project owner in a fast-paced team)Highly motivated to make positive societal impactAbility to wear multiple hats and be a leader as our team growsVisa for work in Canada or USBonus:Strong open-source portfolioPublications at top-tier ML venuesExperience working in an early-stage startup environmentExperience with a prompt optimization framework like DsPY or TextGrad

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About AnyscaleAt Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.About the roleThe Customer Support Engineer will play a crucial role in the customers’ post-sale journey - helping them to onboard, adopt and grow on Anyscale, troubleshooting and resolving open customer tickets and driving consumption.Anyscale is an ever evolving platform and hence will require close co-ordination with our engineering teams to debug complex issues. This is an exciting role for those who are technically curious and passionate about ML/AI, LLM, vLLM and the role of AI in next generation applications. It’s an opportunity to make a significant impact in a collaborative, fast-paced environment while building a new segment in this space.In this role, you’ll be able toResolve customer issues and help in their successful adoption of Anyscale platformBe a technical advisor, and internal champion for our key customersOwn customer issues end-to-end, from troubleshooting, triaging, escalations and eventual resolutionParticipate in our follow-the-sun customer support model to ensure continuity in resolving high priority ticketsKeep track of open customer bugs and feature requests to influence prioritization and provide timely customer updates upon resolutionContribute towards improvement of internal tools and documentation of playbooks, guides and best practices etc. based on observed patternsHabitually provide feedback and collaborate cross-functionally with product and engineering teams to address customer issues with a focus on improving the product experienceBuild and maintain strong relationships with technical stakeholders within customer accountsQualifications3+ years of experience in a customer-facing technical role in a dynamic, fast-paced, startup-like environmentStrong organizational skills and ability to manage multiple customer needs simultaneouslyExperience as a machine learning engineerExperience in training, fine-tuning and inference/serving of LLMsKnowledge in one or more of the major cloud platforms (AWS, GCP or Azure)Excellent communication and interpersonal skills.Strong sense of ownership, self-motivation and eagerness to acquire new skills and do new thingsWillingness to uplevel the knowledge and skills of your peers through mentorship, trainings and shadowingBonusExperience with RayKnowledge of MLOps platformsFamiliarity with container orchestration platforms (e.g., Kubernetes), infrastructure as code (e.g. Terraform), CI/CD tools (e.g. Github Actions)Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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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) or associate degree in paralegal studies.You have at least 1 year of professional experience in one or more of the following practice areas: International Law, Public International Law, Private International Law, International Human Rights Law, International Trade Law, International Environmental Law, Comparative Law, Constitutional Law, Corporate and Commercial 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 $45/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 is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy.Why Join Our TeamReinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare-only, safety-focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.Work with the people shaping the future. Hippocratic AI was co-founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world-changing technologies — ensuring our platform is powerful, trusted, and truly transformative.We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Palo Alto office five days a week unless otherwise specified.About the RoleWe're looking for an AI Integration Engineer to help bridge healthcare data systems with our clinical AI platform. You'll work at the intersection of healthcare interoperability, system design, and data engineering — connecting EHRs, APIs, and analytics pipelines that make our AI models work at scale.In this role, you'll collaborate with delivery leads, product managers, and customer engineers to design and build reliable integrations using modern interoperability standards. Most of your work will involve Python-based data transformation and interface development, integrating with HL7 v2, FHIR, and RESTful APIs. You'll also coordinate with offshore engineers to deliver high-quality solutions on time.You'll have the opportunity to shape our integration framework, define reusable patterns, and improve performance and reliability across the platform.What You'll DoDesign, build, and maintain healthcare data integrations using Python, HL7 v2, FHIR, REST APIs, and SQL.Collaborate with product and delivery teams to translate requirements into scalable, testable integration flows.Coordinate with offshore teams on implementation, review, and QA.Monitor and optimize performance across live integrations, identifying and resolving bottlenecks.Contribute to reusable components and integration templates that improve delivery efficiency.Troubleshoot production issues, lead root-cause analysis, and ensure smooth resolution.What You BringMust Have:5+ years of experience in healthcare integration or interoperability engineering.Strong understanding of HL7 v2, FHIR, and X12 standards.Hands-on experience with Python and at least one integration engine (Mirth, Rhapsody, InterSystems IRIS, or Redox).Comfortable working with RESTful APIs, JSON, and SQL.Excellent communication and collaboration skills across technical and non-technical teams.Strong ownership mindset with attention to reliability, scalability, and qualityNice to Have:Familiarity with EHR APIs (Epic, Cerner, AthenaOne, or similar).Knowledge of FHIR bulk data workflows.Experience with CI/CD, containerization (Docker), or cloud-based deployment pipelines.Background in AI/ML data pipelines or healthcare analytics.Join us and help build the future of safe, life-changing AI in healthcare. There’s never been a more exciting moment to make an impact.***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 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.About the team Our Government and Public Services business unit is committed to leveraging AI for the benefit of individual citizens and the public good. From our work informing strategic government decisions, to optimising our NHS, through to protecting children from harmful online content - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector.About the role As a Lead Learning Engineer at Faculty, you’ll ensure our AI-powered education solutions are grounded in learning science, measurably effective, and set a global standard for education innovation and excellence. You will set the strategy for learning design and evaluation, drive the creation and adoption of our Learning Engineering Playbook, and ensure our products genuinely improve how people learn. Working closely with senior leadership and cross-functional teams, you will architect scalable, data-rich learning systems and guide others to embed best-in-class learning science into our product development. What you'll be doing: Leading the design of learning goals, skill models, adaptivity logic, and feedback systems across flagship education projects.Creating and owning Faculty’s Learning Engineering Playbook, defining best practices for scaffolding, feedback loops, measurement rubrics, and data instrumentation (i.e., how we track learning progress through user interactions).Designing and overseeing rigorous evaluations including formative, summative, and quasi-experimental studies to test product effectiveness and improve learning outcomes.Collaborating with product, data science, and engineering leads to co-architect learning systems that are technically robust and pedagogically sound.Coaching and mentoring Learning Engineers and cross-functional colleagues (PM, UX, DS) to apply learning science principles in day-to-day product decisions.Acting as the internal and external subject matter expert on learning science, representing Faculty in strategic conversations with senior clients. Who we're looking for:You have expert-level knowledge of learning sciences, instructional design, and cognitive or behavioural science.You’ve led the design and evaluation of complex digital learning systems, especially adaptive or AI-driven tools at scale.You bring deep expertise in defining data instrumentation and running robust evaluation strategies to measure learning impact (e.g., mastery, retention, transfer).You can partner confidently with data scientists and engineers to design adaptive systems and telemetry pipelines rooted in pedagogy.You’re an excellent communicator with the ability to influence senior stakeholders and guide product strategy through the lens of learning science. What 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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FEQ127R16 DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、X、LinkedIn、FacebookでDatabricksをフォローしてください。 仕事の内容 プリセールスソリューションアーキテクト（分析、AI、ビッグデータ、パブリッククラウド）として、あなたは営業プロセス全体にわたってハンズオン環境で技術評価フェーズを指導します。あなたは営業チームの技術アドバイザーとなり、現場で顧客要件を実現するために製品チームと連携します。Databricks データインテリジェンスプラットフォームを使用して顧客が具体的なデータ駆動の成果を達成する手助けをし、データチームがプロジェクトを完了し、当社のプラットフォームを企業エコシステムに統合できるよう支援します。ビッグデータ、分析、データエンジニアリング、データサイエンスの問題に対する顧客の最大の課題に対する解決策を見つけながら、あなたは営業チームと一緒にお客様に解決策を提案します。あなたはフィールドエンジニアリングのマネージャーに報告します。 あなたがもたらす影響： あなたはアーキテクチャと設計の側面におけるビッグデータ分析の専門家となります。 見込み客をDatabricksの評価と採用へ導きます。 リファレンスアーキテクチャ、ハイレベルの導入・移行プラン、およびデモアプリケーションを作成することで顧客を支援します。 顧客アーキテクチャをサポートするためにDatabricksとサードパーティアプリケーションを統合します。 ワークショップ、セミナー、およびミートアップを主導することで技術コミュニティと関わります。 営業と共に、担当するセグメントのクライアントとの成功した関係を築き、技術的およびビジネス価値を提供します。 顧客のユースケースのディスカバリー 既存顧客のDatabricks環境の最適化 Databricks製品改善のための活動 必要な条件/経験: 様々な業界・産業で外部クライアントと関わるプリセールスまたはポストセールスの経験 技術概念を示す経験、プレゼンテーションやホワイトボードを使用した経験 パブリッククラウド（AWS、Azure、GCP）内でのアーキテクチャ設計と実装の経験 エンタープライズアカウントとの業務経験  日本語での流暢なコミュニケーション、および英語でのビジネス上の読み書きができること データ領域、もしくは、機械学習・AI領域の基本的な技術理解。および、SQLのコーディングスキル。 望ましい経験/スキル: データエンジニアリングまたはデータサイエンスのいずれかにおいてコアな強みを持つ顧客向けプリセールスまたはコンサルティングの役割に対する理解があることが望ましい Apache Spark™、AI、データサイエンス、データエンジニアリング、Hadoop、Cassandraなどのビッグデータ技術に関する経験 Python, Scala, Java、もしくはRを使用したApache Sparkの流暢なコーディング経験 データ領域、もしくは、機械学習・AI領域での開発経験。特に、Python(Pandas, NumPy等)のコーディング経験  About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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INTERNSHIPAbout H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries.We have multiple Graduation/Final year Internships available in our Research lab as well as engineering team.We are excited to tell you more !Location:ParisWhat We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.Unlock opportunities for professional growth, continuous learning, and career development.If you want to change the status quo in AI, join us.

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

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About 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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ML Cluster Operations Engineer (Slurm / K8s)At TensorWave, we’re leading the charge in AI compute, building a versatile cloud platform that’s driving the next generation of AI innovation. We’re focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what’s possible in the AI landscape.About the Role:We are seeking an exceptional Machine Learning Engineer who has made training and AI workload scheduling a specialty. This is a senior-level role for someone who has significant experience managing distributed machine learning workloads at scale using Slurm and/or Kubernetes.As a technical visionary and hands-on expert, you will lead the evolution of our managed Slurm and Kubernetes offerings, as well as internal health checking and cluster automation.Key Responsibilities:Manage and iterate our containerized Slurm (Slurm-in-Kubernetes) solution, including customer configuration and deployment.Work closely with our engineering team to develop and maintain CI and automation for managed offerings.Ensure healthy cluster operations and uptime by implementing active and passive health checks, including automated node draining and triage.Help profile and debug distributed workloads, from small inference jobs to cluster-wide training.Establish best practices for running jobs at scale, including monitoring, checkpointing, etc.Mentor and upskill ML engineers in best practices. Qualifications:Must-Have:5+ years of experience in cloud infrastructure, HPC, or machine learning roles.Significant hands-on experience with Slurm in production HPC/ML environments, including understanding of setup/configuration, enroot (pyxis), modules, and MPI.Strong knowledge of distributed ML languages and frameworks, such as Python, PyTorch, Megatron, c10d, MPI, etc.Understanding of node lifecycle, including health checks, prolog / epilog scripts, and draining.Deep understanding of security, compliance, and resilience in containerized workloads.Nice-to-Have:3+ years of hands-on Kubernetes experience, including deep knowledge of the Kubernetes API, internals, networking, and storage.Proficiency in writing Kubernetes manifests, Helm charts, and managing releases.Experience with DAGs using K8s native tools such as Argo Workflows.Foundation in networking, especially as it pertains to RDMA, RoCE, and Infiniband.Experience with low level kernel libraries, such as CUDA and Composable Kernel.Contributions to open-source projects or ML/AI tooling.What Success Looks LikeA production-grade integrated Slurm platform that can support thousands of GPUs, with self-healing, scaling, and strong observability.Infrastructure is resilient, secure, resource-optimized, and compliant.Best practices and tooling are well-documented, standardized, and continuously improved across the company.Make GPUs go Brrrrrrr What We Bring:Stock Options100% paid Medical, Dental, and Vision insuranceLife and Voluntary Supplemental InsuranceShort Term Disability InsuranceFlexible Spending Account401(k)Flexible PTOPaid HolidaysParental LeaveMental Health Benefits through Spring Health

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Continua has launched an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. Funded by Google and Bessemer Venture Partners, Continua is developing the future of socially-intelligent AI.We've seen rapid growth over the last quarter, and are looking for someone who can help us improve the quality of our agent experience and scale to the next level.This a hybrid position in Seattle, WA or New York, NY. We are onsite 3+ days per week. What you'll do:You'll work on building and improving the best LLM group chat experience there is. This includes:Fine-tuning models to boost conversational quality and improve scalability.Owning new ideas for engaging features and working across the stack to take them from concept to production.Identifying novel ways to build a "memory" which leads to a personalized and unique experience for our users.Leading technical decision making to find solutions which are both innovative and practical.Optimize infrastructure for performance, scalability, and reliability.Ensure rigorous testing, validation, and continuous improvement of deployed models.Who you are:You're an experienced machine learning engineer with broad knowledge and skills in natural language processing (NLP). You're detail-oriented when it matters to make sure things get done right, but also know how to strike the balance between speed and perfection in a fast-moving startup environment. You:Know the pitfalls and tricks for building with LLMs, especially RAG systems.Have experience with the level of obsession over detail needed to produce high quality ML systems.Are experienced and comfortable building backend systems and working across a code base, not just in Jupyter notebooks.Are experienced in Python.Know how to work independently to handle ambiguity.Excited about the opportunity to tackle impossible problems.We're willing to compromise on years of experience for the right candidate who brings energy, intelligence, and a passion for our mission. A little about us:Our team is a fantastic bunch of accomplished engineers and researchers from Google, PayPal, and AI startups. We're pretty clued in on the technology side and have a strong vision of how the transformative technology of the last few years along with our own secret sauce (not just a ChatGPT wrapper) can help a huge number of people. Compensation & Benefits:We compensate with a competitive salary and equity, health benefits, 401k, and the opportunity to help shape the future of AI agents during this transformative moment in computing history! To apply:To apply, please complete the application and answer the short questions that follow. The more you answer, the better. If something doesn’t apply to you, feel free to say “N/A.”We welcome referrals! If you know someone exceptional for this role, please email us at jobs@continua.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 Mathematics, 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 Mathematics and/or in relevant area. You have at least 3 years of professional experience in mathematics.Your level of English is advanced (C1) or above. Expertise in mathematical modeling, including areas such as combinatorics, numerical analysis, optimization, and statistical modeling. 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 $55/hour depending on your skills, experience, and project needs.Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Mathematics, 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 Mathematics and/or in relevant area. You have at least 3 years of professional experience in mathematics.Your level of English is advanced (C1) or above. Expertise in mathematical modeling, including areas such as combinatorics, numerical analysis, optimization, and statistical modeling. 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 $42/hour depending on your skills, experience, and project needs.Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Mathematics, 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 Mathematics and/or in relevant area. You have at least 3 years of professional experience in mathematics.Your level of English is advanced (C1) or above. Expertise in mathematical modeling, including areas such as combinatorics, numerical analysis, optimization, and statistical modeling. 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 $42/hour depending on your skills, experience, and project needs.Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in 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 3 years 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. 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 $55/hour depending on your skills, experience, and project needs.Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Mathematics, 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 Mathematics and/or in relevant area. You have at least 3 years of professional experience in mathematics.Your level of English is advanced (C1) or above. Expertise in mathematical modeling, including areas such as combinatorics, numerical analysis, optimization, and statistical modeling. 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 $55/hour depending on your skills, experience, and project needs.Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Mathematics, 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 Mathematics and/or in relevant area. You have at least 3 years of professional experience in mathematics.Your level of English is advanced (C1) or above. Expertise in mathematical modeling, including areas such as combinatorics, numerical analysis, optimization, and statistical modeling. 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 $30/hour depending on your skills, experience, and project needs.Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Mathematics, 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 Mathematics and/or in relevant area. You have at least 3 years of professional experience in mathematics.Your level of English is advanced (C1) or above. Expertise in mathematical modeling, including areas such as combinatorics, numerical analysis, optimization, and statistical modeling. 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 $14/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.