AI and ML Engineer
New
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Clera
NewWork on building and deploying ML systems that power a fast moving product. You will contribute across the full ML lifecycle and collaborate with product and engineering teams to ship models that make a real impact.
Design, train, and evaluate machine learning models for production use cases.
Implement end to end ML pipelines from data preprocessing to model serving and monitoring.
Collaborate with product and engineering teams to translate business requirements into ML solutions.
Debug and optimize model performance in production and iterate based on real world feedback.
Write clean, maintainable code and contribute to ML infrastructure and tooling.
Participate in code reviews and share knowledge with the broader team.
3+ years of professional experience in machine learning or software engineering with hands on applied ML in production systems.
Experience in startup or fast moving product environments with rapid iteration cycles.
Strong fundamentals in model selection, evaluation, feature engineering and validation.
Proficiency in Python or similar languages and ML frameworks such as TensorFlow, PyTorch or scikit learn.
Experience building, deploying and maintaining ML systems at scale including A/B testing, monitoring, data pipelines and MLOps tools such as cloud ML platforms and container technologies.
Comfort with ambiguity and ability to prioritize impact in a dynamic setting.
On site at our San Francisco, CA headquarters. Primary location: San Francisco, California, United States.
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97 more Machine Learning Engineer roles in San Francisco
200K – 261K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 40 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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