
2 - 10 employees
đŻ Recruiter
Recruitment
Tech Jobs (Gina's Tech Jobs) is an IT recruiting and technical staffing firm that connects employers with IT professionals and helps job seekers find technology roles. With 30+ years of experience and a national (U. S. ) plus international (Canada, England) presence, they place candidates across all levelsâexecutive, senior, mid, juniorâand specialties including software engineering, network and systems engineering, cloud, data, cybersecurity, quantitative roles, and security-cleared positions. They serve employers in industries such as finance/trading, healthcare (HIT), government, manufacturing, and insurance, and offer services for permanent placements and contract/contractor roles.
đĽ 1 hour ago
đ California â Remote
đľ $150k - $185k / year
â° Full Time
đĄ Mid-level
đ Senior
đ¤ AI Engineer
đť Ghost score 0%
Where this job comes from
Posted on Tech Jobs's careers page, not through a job board
First seen by Remote Rocketship 1 hour ago
Still open on Tech Jobs's site. Checked 38 minutes ago.

2 - 10 employees
đŻ Recruiter
Recruitment
Tech Jobs (Gina's Tech Jobs) is an IT recruiting and technical staffing firm that connects employers with IT professionals and helps job seekers find technology roles. With 30+ years of experience and a national (U. S. ) plus international (Canada, England) presence, they place candidates across all levelsâexecutive, senior, mid, juniorâand specialties including software engineering, network and systems engineering, cloud, data, cybersecurity, quantitative roles, and security-cleared positions. They serve employers in industries such as finance/trading, healthcare (HIT), government, manufacturing, and insurance, and offer services for permanent placements and contract/contractor roles.
⢠Define end-to-end requirements for Artificial Intelligence (AI) capabilities, from model behavior to system behavior to user experience ⢠Translate model capabilities, evaluation results, and technical constraints into clear product and system decisions ⢠Make trade-offs across quality, latency, cost, reliability, safety, and UX ⢠Work closely with Machine Learning (ML), backend, and client engineers on system design, evaluation, and iteration ⢠Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback ⢠Establish clear quality bars and feedback loops for AI-powered experiences ⢠Drive execution through clear specifications, prioritization, and strong technical judgment ⢠Identify failure modes and ensure Artificial Intelligence (AI) systems behave predictably and recover gracefully ⢠Own product quality end-to-end, including correctness, reliability, usefulness, and user trust ⢠Align product strategy with AI capabilities, user needs, and company priorities ⢠Deliver AI features that provide value and are understandable, predictable, and trusted by users ⢠Balance quality, speed, cost, and reliability under uncertainty ⢠Maintain clear roadmaps and priorities with fast iteration based on real user feedback ⢠Align teams to execute on AI product goals with minimal friction
⢠Artificial Intelligence (AI) and Machine Learning (ML) experience required ⢠Strong computer science fundamentals and system design skills ⢠Solid understanding of modern Machine Learning (ML) and how Artificial Intelligence (AI) systems behave in production ⢠Comfortable reading technical designs, understanding architectures, and engaging deeply with engineers ⢠Strong intuition for model limitations, hallucinations, evaluation, and failure modes ⢠Significant experience owning complex, technical products end-to-end ⢠Hands-on experience with AI-powered products, particularly LLM-based systems ⢠Experience with model evaluation, experimentation, prompting, or Artificial Intelligence (AI) system iteration ⢠Ability to turn ambiguous problems into clear requirements, measurable outcomes, and executable plans ⢠Strong judgment and the ability to make decisions when the right answer is not obvious ⢠Highly technical, curious, and comfortable going deep ⢠Strong bias toward shipping, experimentation, and learning from real-world usage ⢠Able to challenge engineers and researchers constructively while maintaining strong collaboration ⢠Comfortable operating with significant ownership in a fast-moving, zero-to-one environment ⢠MUST BE WILLING TO TAKE A 60 MINUTE CODING ASSESSMENT ⢠Nice to have: Experience shipping AI-heavy consumer products ⢠Nice to have: Background as an engineer or highly technical product manager ⢠Nice to have: Experience defining evaluation metrics for Machine Learning (ML) systems ⢠Nice to have: Strong intuition for Artificial Intelligence (AI) UX patterns and failure handling ⢠Nice to have: Prior experience in zero-to-one product environments
⢠Medical insurance ⢠Dental insurance ⢠Vision insurance ⢠Savings Plan Options ⢠PTO ⢠Remote work / work from home
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