Offres d'emploi
Trouvez des postes près de chez vous, sur site, hybrides ou à distance.- Emplois similaires à : Founding Machine Learning Engineer [33116]
Founding Machine Learning Engineer [33116]
Stealth StartupSonomaWe're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combin
Founding Machine Learning Engineer [33116]
Stealth StartupSan FranciscoWe're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combin
Founding Machine Learning Engineer [33116]
Stealth StartupSan MateoWe're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combin
Founding Machine Learning Engineer [33116]
Stealth StartupSanta RosaWe're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combin
Founding Machine Learning Engineer [33189]
Stealth StartupSanta ClaraWe're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combin
Founding Machine Learning Engineer [33116]
Stealth StartupSunnyvaleWe're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combin
Founding Machine Learning Engineer [33116]
Stealth StartupSan JoseWe're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combin
Founding Machine Learning Engineer [33189]
Stealth StartupSunnyvaleWe're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combin
Founding Machine Learning Engineer [33189]
Stealth StartupFremontWe're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combin
Founding Machine Learning Engineer [33189]
Stealth StartupSan JoseWe're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combin
Founding Machine Learning Engineer [33189]
Stealth StartupHaywardWe're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combin
Machine Learning Researcher / Engineer (Foundational Models)
Pathway Vet AlliancePalo AltoAbout Pathway Pathway is building Live AI systems that think and learn in real time as humans do. Our mission is to deeply understand how and why LLMs work, fundamentally changing the way models think
Machine Learning Engineer
TechDoQuestCupertinoBuild and optimize RAG pipelines, vector databases, embeddings, and document-processing workflows Design agentic AI systems — including tool calling, orchestration, reasoning loops, and workflow autom
Machine Learning Engineer
Intellisoft TechnologiesMalvernRole: ML Engineer Location: Malvern, PA - hybrid onsite Duration: 6 monthsMust have Skills: ML models AWS SageMaker AWS servicesRequired qualifications:Responsibilities- Bachelors degree in a relevant
Machine Learning Engineer
Allcloud Inc.United StatesDescriptionMachine Learning EngineerLocation: US / Canada (Eastern Time) - Home-basedJob Type: Full-time, PermanentAbout AllCloudAllCloud is a leader in amplifying organizations' cloud potential throu
Machine Learning Engineer
Intellisoft TechnologiesUnited StatesRole: ML Engineer Location: Malvern, PA - hybrid onsite Duration: 6 monthsMust have Skills: ML models AWS SageMaker AWS servicesRequired qualifications:Responsibilities- Bachelors degree in a relevant
Machine Learning Engineer
PhysicsXUnited StatesMachine Learning EngineerSan Francisco, CA About UsPhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of softwa
Machine Learning Engineer
K1XNew YorkFully Remote Position Preferred Locations: Midwest based: Indianapolis, IN or IL, Chicagoland Area preferred Who We Are: K1x is the leading data distribution platform for alternative investments. Simp
Machine Learning Engineer
Vannevar LabsNew YorkVannevar is a defense technology company building AI to deter our adversaries. In the 21st century, conflict moves at algorithmic speed and foresight equals firepower. Our agentic AI is purpose-built
Machine Learning Engineer
Victor Noble AssociatesNew YorkOur client is looking for machine learning engineers to develop and implement machine learning models and algorithms to drive actionable insights and solutions. You will collaborate closely with cross
Machine Learning Engineer
SF PartnersBirminghamMachine Learning Engineer with generative AI, LLM or ML experience is sought by a high growth scale up based near Birmingham.Working at the forefront of national security innovation this Machine Learn
Machine Learning Engineer
Happy RobotUnited StatesMachine Learning EngineerYou'll be building AI models that make human-like conversations possible. You'll work at the intersection of speech, language, and intelligence, taking cutting-edge research a
Machine Learning Engineer
Elder ResearchNew YorkMachine Learning Engineer Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Machine Learning Engineer to join our team
Machine Learning Engineer
Spotify ABBostonThe Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks better than a
Machine Learning Engineer
SF Partners AdminBirminghamMachine Learning Engineer with generative AI, LLM or ML experience is sought by a high growth scale up based near Birmingham.Working at the forefront of national security innovation this Machine Learn
Founding Machine Learning Engineer [33116]
- Sonoma, California, United States
- Sonoma, California, United States
À propos
Design, train, and deploy production ML systems (LLM-powered agents + time-series models) Build and scale LLM-powered agents with advanced capabilities: multi-step reasoning, tool integration, autonomous workflows, memory/context management, and adaptive strategies Develop and refine evaluation frameworks for agents, ensuring reliability, safety, and measurable performance Apply and extend time-series modeling techniques (forecasting, anomaly detection, multimodal fusion) in real-world customer scenarios Operate end-to-end: from data ingestion and preprocessing to deployment, monitoring, and continuous improvement Stay ahead of the curve on the latest innovations in AI agents, orchestration frameworks, and infrastructure (MCP, A2A, etc.) Partner directly with researchers, engineers, and lighthouse customers to validate solutions and drive rapid iteration
What we're looking for:
Proven industry experience (4-10 years) as an ML Engineer, Research Engineer, or Applied Scientist, with a track record of shipping production ML systems Hands-on expertise in LLM-powered agents: multi-step reasoning, tool use, context windows, autonomous workflows, agent memory Deep understanding of agent evaluation techniques (reliability, safety, success metrics) Up-to-date with modern agent infrastructure and frameworks (MCP, A2A, etc.) Fluency with ML engineering best practices: reproducibility, monitoring, scaling, CI/CD, observability Comfort operating in a fast-paced startup: shipping quickly, making tradeoffs, and thriving in ambiguity
Nice to have:
Experience training custom neural networks beyond pre-trained LLMs (e.g., transformers for time-series or multimodal data) A background in time-series modeling (forecasting, anomaly detection, classical + deep learning approaches) Published research or open-source contributions in ML/AI
Location & Sponsorship
Location: San Francisco Bay Area, CA (in-person) Visa Sponsorship: H1-B, O1
Compétences linguistiques
- English
Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.