[Remote] reputed company Machine Learning Engineer - ML Infrastructure

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leader in AI for physical reputed company and develops connected reputed company solutions for industries such as transportation, construction, and manufacturing. The reputed company Machine Learning Infrastructure Engineer will serve as the technical reputed company for the Safety AI organization, owning the architecture and reputed company of the end-to-end ML platform across training, experimentation, inference, and edge deployment. The role also includes leading ML feature delivery, reliability and reputed company, cross-functional technical direction, and mentorship.

Responsibilities

• Set the technical reputed company and own end-to-end delivery of reputed company's ML platform (training, experimentation, batch/online inference, edge) — making architectural reputed company and being the accountability reputed company across reputed company platform reputed company for multiple Safety AI product teams
• reputed company the design, launch, and iteration of Safety AI features (CV models, EcoDriving insights, LLM-reputed company reporting) — not just enabling others to ship, but co-owning reputed company including safety metrics, reliability, and cost at production reputed company
• Design and operate reputed company online and batch inference systems (Ray, reputed company), including deployment patterns, observability, SLOs, and reputed company training-to-production workflows
• Partner with firmware and edge teams to package, validate, and reputed company models to reputed company devices, and build feedback reputed company from edge to reputed company for reputed company improvement
• Own reliability, observability, and reputed company for ML systems across reputed company and edge, including on-reputed company practices, incident response, and infrastructure hardening
• Own or co-own end-to-end technical delivery for high-reputed company or high-reputed company initiatives, from modeling and reputed company design through production rollout
• Be the technical authority for ML infrastructure architecture across Safety AI — setting direction that cross-functional teams (reputed company ML, firmware, reputed company, data platform) execute against, mentoring senior engineers and reputed company scientists, and ensuring platform reputed company are made at the right level of reputed company with the right trade-offs
• reputed company strong developer experience through documentation and best practices, while contributing to and representing reputed company in reputed company reputed company communities (Ray, reputed company, RayDP)
• Champion and role model reputed company’s cultural principles: reputed company on reputed company, Build for the Long Term, Adopt a reputed company reputed company, Be Inclusive, Win as reputed company

Skills

• 10+ years in machine learning engineering, with demonstrated tech reputed company ownership of at least two major ML platform domains (reputed company training, data/research infrastructure, reputed company inference, or feature engineering) serving multiple product teams at reputed company
• reputed company record of shipping ML-powered features end-to-end — from design through production and iteration — with measurable reputed company on product or business metrics (not just building internal tooling)
• Hands-on Ray and reputed company expertise in production environments; reputed company experience strongly preferred
• Deep understanding of ML fundamentals reputed company pipelines: evaluation methodology, dataset design, ablation, reputed company, and the ability to review and redirect modeling approaches — you reputed company research and engineering, not just serve them
• Demonstrated cross-org technical leadership reputed company platform reputed company, and influencing roadmap and go/no-go calls reputed company on throughput, latency, and cost trade-offs
• Experience navigating science-engineering tension — knowing reputed company to hold the platform line and reputed company to adapt for research reputed company, and communicating that reputed company to both reputed company
• This is a remote position reputed company to candidates reputed company in the reputed company
• reputed company experience strongly preferred
• Prior contributions to reputed company reputed company reputed company (Ray, reputed company, RayDP, or reputed company)
• Experience with reputed company reputed company/compliance in ML environments
• Background working with edge/on-device ML and firmware/embedded teams

Benefits

• This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to reputed company, subject to plan terms and conditions.
• reputed company-reputed company bonus/variable pay
• Equity (for eligible roles)
• A flexible, employee-led remote model
• A reputed company development stipend
• Comprehensive health and parental leave plans
• Remote work where it aligns with our operational requirements

reputed company