Senior Machine Learning Engineer – Responsible AI, Applied Research Science
Zigsaw
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • United States
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Salary
💰 $189,721 - $332,012 per year
Job Level
About the role
- Design and drive projects in the responsible AI frontier to identify, avoid, and mitigate bias across a wide range of ML applications
- Collaborate with other engineering teams to leverage their platforms and signals
- Mentor junior engineers on the Responsible AI team and across the company
- Work with the team and senior leaders at the company to define and drive technical strategy in this area.
Requirements
- 4+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
- 1+ years experience leading cross-team engineering efforts
- Extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology
- Deep familiarity with cutting-edge ML architectures (e.g., transformer-based models, 2-tower architectures, LLMs and VLMS)
- Proven ability to measure, deploy, and refine fairness interventions and broader Responsible AI solutions at scale
- Masters or PhD in Comp Sci or related fields
- Publications at top ML conferences (nice to have)
Benefits
- Health insurance
- Paid time off
- Flexible working arrangements
- Professional development opportunities
- Equity options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningresponsible AIML architecturestransformer-based models2-tower architectureslarge-scale systemsfairness interventionsproduction systemsadvanced ML methodsdata analysis
Soft Skills
mentoringcollaborationleadershiptechnical strategycommunicationproblem-solvingteamworkproject managementcritical thinkingadaptability
Certifications
Masters in Computer SciencePhD in Computer Science