Machine Learning Engineer
$225k - $275kBlue Signal Search
ML Engineer – AI-Powered Automation & Workflow Intelligence High‑velocity tech startup at the intersection of AI & intelligent automation in the Bay Area. Building a next‑generation platform that powers intelligent digital agents capable of understanding, adapting, and executing across multi‑faceted workflows involving language, vision, and structured data. Base pay range: $225,000.00/yr - $275,000.00/yr Location: Bay Area, CA (On‑site) Industry: Artificial Intelligence, Enterprise Software, Workflow Automation Employment Type: Full‑Time Key Responsibilities Design and implement scalable, production‑grade ML systems that serve as the intelligence layer of a flagship automation platform. Lead the full lifecycle of ML development, from data ingestion to deployment, including experimentation, training, evaluation, and monitoring. Develop innovative solutions involving large language models (LLMs), multimodal architectures (text, image, graph), and multilingual adaptation. Build robust infrastructure for ML experimentation, model management, and deployment (MLOps). Partner closely with product and engineering leaders to align machine learning solutions with high‑value business challenges. Establish reproducibility and performance standards while integrating research advancements into a practical, production setting. Mentor incoming AI team members and contribute to shaping the engineering culture and technical vision. Qualifications 8+ years in ML, Deep Learning, or Applied AI, ideally with experience taking models from prototype to production. Strong background in foundational ML concepts, deep learning frameworks (e.g., PyTorch, TensorFlow, JAX), and distributed training. Proven success working with LLMs, transformers, or comparable foundation models in applied contexts. Hands‑on experience with data pipeline orchestration and ML tooling (e.g., Airflow, MLflow, SageMaker, Vertex AI). Proficiency in Python and experience developing scalable APIs or backend services in cloud environments. High ownership mindset with the agility and drive typical of startup environments. Advanced degree (MS or PhD) in Computer Science, Applied Mathematics, or a related field preferred. Bonus Skills Practical exposure to multimodal ML (e.g., combining NLP with vision or graph data). Familiarity with ontologies, taxonomies, or structured semantic modeling. Experience with multilingual NLP models or internationalization of AI systems. Background in high‑growth startups or early‑stage technical leadership. Why This Role? Shape the core AI systems of a product with tangible, enterprise‑scale impact. Join a small, high‑caliber team solving some of the most sophisticated automation challenges in the industry. Own key technical decisions and help shape a culture of engineering excellence. Competitive compensation package with significant equity upside. Collaborate in‑person in the Bay Area while building globally scalable tech. About Blue Signal Blue Signal is a leading executive search firm, specializing in engineering recruitment. Our engineering recruiting team has expertise placing high‑performing talent in areas such as electrical, mechanical, civil, and telecom engineering. Learn more at bit.ly/46IAFRJ . #J-18808-Ljbffr
$140k - $200k
...GV, and Accel and enjoy multi-year runway.About the RoleWe’re looking for an ML Engineer to build the production systems that train, deploy, monitor, retrain, and serve our machine-learning models reliably. You sit between software engineering, data engineering, and modeling...SuggestedTemporary workWork at officeMonday to FridayMonday to Thursday$190.2k - $345.65k
...an outstanding opportunity to operate as a startup founding engineer while having the resources of an innovative, large technology... ...years of experience in enterprise software development using Machine Learning and Agentic AI systems to help design and scale the infrastructure...SuggestedFull timeTemporary workLocal areaWorldwide$209k - $313k
...express themselves, live in the moment, learn about the world, and have fun together.The... ...Saturn, and other digital services.Snap Engineering teams build fun and technically... ...privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What...SuggestedFull timeLive inWork at officeLocal area$173k - $259k
...express themselves, live in the moment, learn about the world, and have fun together.The... ...Saturn, and other digital services.Snap Engineering teams build fun and technically... ...privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What...SuggestedFull timeLive inWork at officeLocal area- ...and phone orders—using DoorDash's logistics network. The Drive Machine Learning team builds the prediction and intelligence systems that... ...consumer, and dasher outcomes.About the RoleAs a Machine Learning Engineer on the Drive team, you'll own machine learning systems end-to...SuggestedHourly payWork at officeLocal areaRemote workRelocationFlexible hours
$200k - $300k
San Francisco, CaliforniaHybridFull Time$200k - $300k A health technology company at the top of their industry is seeking a Machine Learning Engineer to join its research and development team. This full-time opportunity offers the chance to build advanced machine learning...Full timeWorldwide$160k - $240k
...organization, tackles challenging problems at the intersection of machine learning, agentic reasoning, and enterprise-scale systems. Our work... ...value agent applications.About the RoleAs a Machine Learning Engineer on the AI Core team, you will develop tailored user...Full timeWork at officeRemote workHome officeFlexible hours- ...We leverage artificial intelligence and advanced ML, deep learning techniques to power decision-making in real time — from optimizing... ...loop marketplace. About the RoleWe’re looking for a Machine Learning Engineer to help design, build, optimize and scale large-scale ML...Hourly payWork at officeLocal areaRemote workFlexible hours
- ...worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here.The OpportunityWe... ...complex tasks, leveraging Superhuman ubiquitous UI. As a Machine Learning Engineer on this team, you will be at the heart of our company's...WorldwideHome officeFlexible hours
$210k - $240k
...If you ship models into production — whether your title says ML engineer or data scientist — this is for you. Salary Range: $210,000–$24... ...to model training to production Build and tune models for learning-to-rank, query understanding, and LLM-driven retrieval Extend ML...Full timeTemporary workFor contractorsRemote workVisa sponsorshipFlexible hours- Parallel is seeking a professional who will own the training pipeline behind models that support both the search stack and agents. Responsibilities include building pathways from product usage to high-quality training data, rigorously fine-tuning models, and shipping them...
- ...companies to build high‑performing teams at scale. As an Applied AI Engineer, you'll join an extremely talented and hard‑working engineering... ...with ambition, a bias towards action, and who thrives on rapid learning and growth. We'll be most excited if you have: Experience...Work at office
$190k - $240k
...Are you an experienced Machine Learning Engineer with a passion for creating impactful solutions using cutting‑edge technologies? We are seeking a highly experienced Sr Applied Machine Learning Engineer to join our applications team. In this role, you will leverage your...- ...leading AI creative tooling company in California is seeking an ML Engineer to create and manage their personalization and recommendation... ...feeds, proficiency in Python, and a solid foundation in machine learning. Responsibilities include shaping user experience through...
- ...Clay is seeking a Machine Learning Engineer to join the Learning Team and build a self-learning revenue engine powered by data, ML, and AI. You’ll ship intelligence features that learn from customer data and behavior, ranking and recommendation experiences, and the ML...
$200k - $230k
...love to have you on our team! Why Join Us? We’re looking for a Machine Learning Research Manager to lead a dedicated, high‑impact team of... ...organization scales while partnering deeply with clinicians, engineers, and product leaders to bring high‑value ideas into...Full timeWork at officeFlexible hours- ...a well-funded early-stage AI startup building cutting-edge machine learning systems at the intersection of large language models, distributed... ...is an opportunity to join a highly technical team where engineers work across the full machine learning lifecycle, from large-...
- ...A high-velocity tech startup in the Bay Area is seeking an experienced ML Engineer focused on AI-powered automation and workflow intelligence. The successful candidate will design and implement scalable ML systems, lead full lifecycle ML development, and work with innovative...
- ...high standards. Keep abreast of the latest developments in machine learning and AI, advocating for best practices and integrating new technologies... ...of algorithms, data structures, and principles of software engineering. Nice to Have: Knowledge in specialized machine learning...Work at officeImmediate startRemote workWork from homeMonday to FridayFlexible hours
- ...world-class scientists, ML researchers, and engineers to work together to move beyond the... ...the molecular level something that can be learned, predicted, and designed.At Achira, you'... ...thrives at the intersection of applied machine learning research and rigorous software...Work at office
$230k - $322k
...advertising experiences that help advertisers connect products with people who are likely to find them useful. As a Staff Machine Learning Engineer on Shopping Ads, you will lead the technical strategy and execution for the models that power Shopping Ads delivery. You will...For contractorsWork experience placementFlexible hoursShift work- ...planning, analysis, and optimization at Haus using optimization, machine learning, and causal inference. We are looking for individuals who... ...of working with applied scientists, data scientists, data engineers and other MLEs to deliver trustworthy results to our customers...Work at officeWork from homeWorldwideFlexible hours
- ...San Francisco is seeking candidates experienced in building reinforcement learning-based LLM training pipelines. You will train models to tackle challenges in materials science and engineering. Qualifications include industry experience with Python and PyTorch, strong...
$200k - $350k
...An early-stage AI company in San Francisco is seeking a Machine Learning Research Engineer to own end-to-end research cycles. The role involves training models across creative domains, developing evaluation benchmarks, and collaborating with creative experts and AI labs...$350k
...Machine Learning Infrastructure Engineer, Safeguards ResearchSan Francisco, CA | New York City, NYAbout AnthropicAnthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a...Work at officeVisa sponsorshipFlexible hoursShift work- ...Machine Learning Infrastructure EngineerLocation: Onsite in San FranciscoCompensation: Competitive Salary + EquityUniversalAGI is building... ...building a high-velocity team of relentless researchers and engineers that will define the next generation of AI for industrial...Work at officeFlexible hours1 day per week
$130k - $200k
...teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving... ...and deploy AI systems safely. About the Role We are seeking a Machine Learning Engineer to design, build, and evaluate advanced machine learning...Remote work- ...Apple Inc. is seeking a Staff/Sr. Machine Learning Engineer for their Foundation Models team in San Francisco, California. This role involves working closely with product teams to optimize AI models for real-time service to millions of customers. Candidates should have...
- ...Zof AI in San Francisco is seeking a Machine Learning Engineer to own the full model lifecycle—training, evaluating, fine-tuning, and deploying models for production. You will build and maintain data pipelines, datasets, and labeling processes, ensuring rigorous evaluation...
- ...ML Infrastructure Engineer, Model InferenceAs an ML Infrastructure Engineer, Model Inference at Abridge, you'll play a pivotal role... ...optimizing the core inference infrastructure that powers our machine learning models. Your work will be instrumental in enhancing the scalability...Hourly payFull timeFlexible hours
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