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Staff ML Engineer (AI)

185Β 500 - 270Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
РСлокация
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR

Staff ML Engineer (AI): Designing and scaling a cloud-agnostic, reliable ML inference platform for autonomous vehicles and AI-driven products with an accent on performance, availability, and GPU utilization. Focus on building robust model serving strategies, orchestration, and optimizing high-priority ML-centric use cases.

Location: Hybrid; must report to the Sunnyvale Technical Center, CA at least three times per week. Relocation assistance available.

Salary: $185,500 - $270,000

Company

hirify.global is an automotive leader pursuing a vision of Zero Crashes, Zero Emissions, and Zero Congestion through AI and autonomous vehicle technology.

What you will do

  • Design and implement core platform backend software components for ML workflows.
  • Lead technical decision-making on model serving strategies, orchestration, caching, and auto-scaling.
  • Drive the development of monitoring and observability to optimize resource usage and reliability.
  • Research and integrate state-of-the-art model serving frameworks and hardware accelerators.
  • Lead large-scale technical initiatives across the ML ecosystem.
  • Establish engineering best practices and contribute to open-source ML projects.

Requirements

  • 8+ years of industry experience focusing on machine learning systems or high-performance backend services.
  • Expertise in Go, Python, or C++.
  • Proficiency with ML inference and model serving frameworks such as Triton, RayServe, or vLLM.
  • Experience with cloud platforms including GCP, Azure, or AWS.
  • Must be based in or able to relocate to Sunnyvale, CA for hybrid work.
  • Strong communication skills to drive cross-functional initiatives.

Nice to have

  • Hands-on experience building ML infrastructure platforms for model serving.
  • Experience with the Ray framework and vLLM.
  • Background in distributed systems and large-scale data processing.
  • Familiarity with GPU hardware acceleration and optimization for inference.
  • Contributions to open-source ML serving frameworks.

Culture & Benefits

  • Comprehensive medical, dental, and vision insurance.
  • Retirement savings plan, Health Savings Account (HSA), and Flexible Spending Accounts (FSA).
  • Paid vacation, holidays, and tuition assistance programs.
  • Employee assistance program and GM vehicle discounts.
  • Eligibility for a company vehicle evaluation program.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’