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Build and deploy machine learning systems for a pre-seed AI recruiting startup, owning models from problem definition through production monitoring. You'll design ML pipelines, collaborate with product and engineering teams, and debug performance using real-world feedback. This on-site San Francisco role requires at least three years of professional ML or software engineering experience, proficiency in Python and frameworks like TensorFlow or PyTorch, and hands-on experience with production ML pipelines, MLOps tools, and cloud platforms.
Written from this posting by Neural Jobs AI. The full description is below.
Join a pre-seed AI recruiting technology startup as a Machine Learning Engineer. You will build and deploy machine learning systems that power the core product, owning work from problem definition through production monitoring. The role works closely with product, engineering, and domain experts to deliver useful, reliable models.
Design, train, and evaluate machine learning models for production use cases.
Build end-to-end ML pipelines, from data preprocessing through model serving and monitoring.
Partner with product and engineering teams to turn business needs into ML solutions.
Debug and improve model performance using production monitoring and real-world feedback.
Write maintainable code and contribute to ML infrastructure, tooling, and code reviews.
Share knowledge with teammates and support a culture of rapid iteration.
At least 3 years of professional machine learning or software engineering experience, including building and deploying production ML systems.
A completed degree and strong machine learning fundamentals, including model selection, evaluation metrics, feature engineering, and validation.
Proficiency in Python and hands-on experience with TensorFlow, PyTorch, or scikit-learn.
Experience implementing production ML pipelines with data preprocessing, model serving, and monitoring.
Familiarity with MLOps tools and cloud platforms such as AWS SageMaker, GCP Vertex AI, Kubernetes, or Docker.
Experience maintaining and optimizing deployed systems, and using A/B testing or other production experimentation methods.
Comfort working in a fast-moving product environment with ambiguity and changing priorities.
This is an on-site role based in San Francisco, United States.
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Clera is an AI recruiting platform that introduces candidates directly to hiring managers at the companies they want to work for.
84 more Machine Learning Engineer roles in San Francisco
185K – 265K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 37 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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