ML Engineer
$190k - $320kDormont Manufacturing Co
About Sesame Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we’re designing a new kind of computer, focused on making voice agents part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive. Responsibilities: Own evaluation pipelines — design, build, and automate offline and live evals that keep our speech and multimodal models honest in production. Harness the data — create tooling for safe, versioned, privacy-aware dataset curation and discovery. Ship models, not slide decks — partner with research and infra to prototype, train, and deploy state‑of‑the‑art voice models that power Sesame’s real‑time companion experience. Squeeze silicon — scale training and inference for LLM‑class workloads; chase latency, throughput, and cost until the graphs flatten. Wire up monitoring and live evals — surface quality regressions before users or PMs notice. Move at startup speed — take ideas from whiteboard to production in days, not quarters; leave a clean trail of tests and dashboards behind. Required Qualifications: Expert‑level PyTorch. Proven software engineer who loves ML; comfortable writing production code across the stack. Hands‑on experience training or fine‑tuning large language or other large‑scale models with a variety of techniques. Evaluation expert — you’ve designed metrics and harnesses that actually predict user happiness. Deep knowledge of the ML lifecycle: dataset ops, training pipelines, eval frameworks, deployment, and monitoring. History of shipping complex projects to production—especially user‑facing, online ML systems—despite shifting requirements and surprise roadblocks. High agency and the judgment to know when to sprint solo vs. pull in the squad. Track record of setting technical direction, driving consensus, and partnering smoothly with product, infra, and research. Full‑time Employee Benefits: 401(k) max employer match: 3.5% of compensation 100% employer‑paid health, vision, and dental benefits for you and your dependents Unlimited PTO and sick time Flexible spending account with employer matching up to $1,650/year (medical FSA) Guardian Employee Assistance Program (EAP) Opportunity to share in the company’s success with competitive stock options Benefits do not apply to contingent/contract workers. Compensation $190K – $320K Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities. Contact View email address on click.appcast.io for assistance. #J-18808-Ljbffr Dormont Manufacturing Co
- ...Ensure that ML models can be effectively developed, deployed, managed, and monitored in Production environments. Productionize ML models – integrate trained ML models with Production systems Build and manage ML pipelines – design, build, and maintain automated pipelines...SuggestedPermanent employmentContract workLocal area
Digital Technologies Inc
San Francisco, CA4 days ago - ...intentional. What to expect This role is for a machine learning engineer who wants to work on the models that give LeLamp its intelligence... ...for training and deploying machine learning models Integrate ML systems with robotic hardware and embedded systems Improve robot...SuggestedImmediate start
Human Computer Lab
San Francisco, CA1 day ago $200k - $300k
...on experience & skill-level) | San Francisco, CA | On-site Most ML roles ask you to fine-tune someone else's idea. This one asks... ...hard, the team is exceptional, and the window to be a founding engineer on something like this doesn't stay open long. What you’ll work...SuggestedInternshipWork at office- Check out 1962 new Machine Learning Engineer opportunities posted on AI Chopping Block Design, build, and maintain scalable machine learning... ..., testing, and deployment. Develop and optimize end-to-end ML pipelines encompassing data collection, labeling, training, validation...SuggestedFlexible hours
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$310k
...Co in San Francisco is seeking an experienced machine learning engineer to focus on retrieval and search problems across our API and ChatGPT... .... The ideal candidate has extensive experience in production ML systems and a track record in search systems. Compensation ranges...- ...located in San Francisco is seeking its first Machine Learning Engineer to drive the development of fully autonomous underwriting systems... ...pioneering role with high ownership, where you will design and implement ML solutions that integrate real-time data and automate...
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$150k - $300k
...profiles and company records from across the web. You will own the ML systems that turn that raw, multilingual, web-scale data into... ...before significant dilution. Own the full ML research and engineering cycle, from prototype to production. Solve genuinely hard problems...- Overview We’re looking for a key engineer with significant AI/ML + LLM experience to build AI-native core tools and models for agent-driven chip design workflows. Who You Are You are excited about transforming the way chips are built by the entire chip industry. You...
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- Planette AI is looking for a motivated Machine Learning Engineer based in San Francisco, California. This pioneering position involves developing ML models to advance climate forecasting technology. As the first ML engineer on the team, you'll work closely with climate...
$198k - $230k
...combines both in‑person and remote work to boost collaboration, enhance innovation, and adapt to individual work styles. Senior MLOps Engineer (Applied AI Focus) As a Senior MLOps Engineer on our Product Innovations team, you will serve as the technical lead for Applied...Work at officeRemote workWork from homeWorldwideHome officeFlexible hours- Whatnot is seeking a Machine Learning Engineer to join our Buyer Growth team in San Francisco. In this role, you will lead the design and development of ML models to drive user acquisition and retention. The ideal candidate has over 5 years of experience in building and...Work from homeFlexible hours
- ...Report to CEO | OpenAI for Physics | 5 Days Onsite Machine Learning Engineer Location: Onsite in San Francisco Compensation: Competitive... ...to hear from you. About the Role UniversalAGI is hiring an ML Engineer to help ship ML outcomes by owning the execution layer:...Work at officeFlexible hours1 day per week
- ...training pipelines. You’ll work closely with researchers and model engineers to translate ideas into experiments—and those experiments into... ...This is a hands‑on, high‑leverage role at the intersection of ML, software engineering, and scalable infrastructure. The Team The...Full time
- ...A/B testing, and iterate on models to improve accuracy and efficiency. Requirements 5+ years of experience in machine learning engineering, with a strong portfolio of production‑grade models. Proficiency in Python, deep learning libraries (TensorFlow, PyTorch), and data...
- At Dynamo AI, we believe that LLMs must be developed with safety, privacy, and real-world responsibility in mind. Our ML team comes from a culture of academic research driven to democratize AI advancements responsibly. By operating at the intersection of ML research and...Local areaShift work
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