TL;DR
Member of Technical Staff (AI Engineering): Designing and implementing advanced evaluation suites for machine learning models, focusing on capturing real-world utility and performance within production environments. Focus on translating cutting-edge techniques and Grok models into production-ready implementations, optimizing for performance and impact.
Location: The role is based in Palo Alto. Candidates are expected to be located near Palo Alto or open to relocation.
Salary: $180,000 - $440,000 USD
Company
hirify.global’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.
What you will do
- Design and implement next-generation evaluation suites beyond traditional benchmarks.
- Coordinate model evaluation efforts and collaborations to ensure comprehensive coverage and fast iterations.
- Integrate Grok into production systems, gain deep insights into real-world environments, and ensure alignment with user needs and business objectives.
- Partner with research teams to translate cutting-edge techniques and Grok models into production-ready implementations, optimizing for performance and impact.
Requirements
- Proven expertise in designing and implementing sophisticated evaluation frameworks for machine learning models, especially LLMs.
- Experience with statistical analysis, experimental design, and benchmarking AI systems in real-world settings.
- Candidates are expected to be located near Palo Alto or open to relocation.
Culture & Benefits
- Base salary is just one part of our total rewards package at hirify.global, which also includes equity, comprehensive medical, vision, and dental coverage.
- Access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
- Flat organizational structure.
Hiring process
- The team reviews your CV and statement of exceptional work.
- If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions.
- Final interviews will be conducted in person.
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