myGwork - LGBTQ+ Business Community · 2 days ago

Senior Staff Machine Learning Engineer

San Francisco, CA

Full-time

Onsite

Senior Level

$160K/yr - $296K/yr

10+ years exp

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Responsibilities

Research and build high-impact end-to-end machine learning systems for customer growth

Drive the design of scalable ML solutions in production

Coordinate the work of applied scientists and machine learning engineers providing research guidance and mentorship

Promote and role-model best practices of data science, engineering, and communication throughout the organization

Mentor engineers and data scientists across the org

Navigate existing ML and AI research and apply it to solve business problems

Contribute back to research community by writing/publishing blogs, articles or papers in conferences

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningStatisticsAI FundamentalsML MethodologiesML FrameworksPythonJavaScalaTensorFlowPyTorchJAXScikit-learnProduction ExperienceTechnical AdvocacyProblem-SolvingLeadershipCommunicationTeamwork

Required

M.S or B.S. in Computer Science/Statistics/Data Science or related field

10+ years of building products with Machine Learning and Personalization

Deep understanding of statistics and ML and AI fundamentals

Deep knowledge in multiple ML methodologies, such as LLMs, Foundation Models, Recommendations & Search, Causal Machine Learning, Interpretable ML, Multi-Armed Bandits, Reinforcement Learning and Constrained Optimization

Expert proficiency with ML-frameworks such as TensorFlow, PyTorch, JAX, Scikit-learn etc.

Production experience implementing, maintaining, and improving machine learning pipelines and models at scale in Python, Java, Scala, or similar languages

Proven leadership skills, such as aligning complex technical decisions across teams, mentoring, coordinating cross-functional relationships with non-technical stakeholders, managing expectations, and navigating competing priorities

Excellent written and verbal communication skills, with the ability to effectively advocate technical solutions to scientists, engineers, and product audiences

Self-motivated, growth-oriented, and driven to pursue excellence across teams