Jobbörse
Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.- Ähnliche Jobs zu: Founding Machine Learning Engineer [33116]
Founding Machine Learning Engineer [33116]
Stealth StartupAlamedaWe'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 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 Forward Deployed Machine Learning Engineer [33145]
Stealth StartupSunnyvaleThe role You work directly with medical imaging companies preparing FDA 510(k) or De Novo submissions, and with hospitals evaluating those models for adoption. You own customer engagements end-to-end
Founding Machine Learning Engineer [33189]
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 [33189]
Stealth StartupAlamedaWe'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 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
Senior Staff Machine Learning Engineer, (Machine Learning)
AffirmNew YorkSenior Staff Machine Learning Engineer, ML Underwriting Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without hidden fees
Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences)
Capital OneUnited StatesSenior Lead Machine Learning Engineer (Intelligent Foundations and Experiences) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine l
Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences)
Capital OneNew YorkSenior Lead Machine Learning Engineer (Intelligent Foundations and Experiences) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine l
Machine Learning Engineer
Kickstart RemoteNew YorkOverview Explore top remote machine learning engineer jobs and find flexible roles such as llm engineer, nlp engineer, computer vision engineer, ai engineer, ai research scientist on Kickstart Remote.
Machine Learning Engineer
Hadrian AutomationLos AngelesJob Description Job Description Hadrian - Manufacturing the Future Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships u
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
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
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
LeidosBellbrookDescriptionAs a result of program growth, the Electronic Warfare Division is looking for a mid-level Machine Learning Engineer to support remote sensing programs in Beavercreek, OH. As a Machine Learn
Machine Learning Engineer
AquabyteUnited StatesAquabyte is seeking aMachine Learning Engineerto help develop and deploy new algorithms to fish farms across the world. You'll be responsible for software and machine learning model development of our
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 Operations Engineer
SintelaAnn ArborAbout SintelaSintela is a deep tech company that specializes in Distributed Acoustic Sensing (DAS). DAS is a technology that can transform an ordinary hundred-mile-long optical fiber into a hundred th
Software Engineer, Machine Learning
EMAFremontWho We Are Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate m
Senior Machine Learning Engineer
General MotorsNew YorkThe Role: We are seeking an experienced, technical oriented, impact delivering-driven expert in ML Training Infrastructure with a strong ability to execute hands-on technical work. In this role, you w
Founding Machine Learning Engineer [33116]
- Alameda, California, United States
- Alameda, California, United States
Über
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
Sprachkenntnisse
- English
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.