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5 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄

Senior Software Engineer (AI/ML Platform)

197Β 000 - 307Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Ρ‚ΠΎΠ»ΡŒΠΊΠΎ USA)
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
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
Senior Software Engineer (AI/ML Platform) (Robotics/AI): Building the ML platform that powers fleet-scale humanoid robotics, including data processing, training, evaluation, deployment, and model observability with an accent on MLOps infrastructure, cloud-native workflows, and reproducible machine learning operations. Focus on designing model registries, feature stores, experiment tracking, developer APIs, and CI/CD systems for continuous retraining and reliable production model delivery.

Location: Remote within the United States. All roles are U.S.-based, and applicants must have current authorization to work in the United States.

Salary: $197,000–$307,000 USD annual base salary, with the final offer depending on market location, knowledge, skills, and experience.

Company

hirify.global develops commercially deployed humanoid robots for warehouses, manufacturing facilities, and distribution centers.

What you will do

  • Design and implement the ML platform for end-to-end data processing, training, evaluation, deployment, and model management.
  • Develop reliable workflows across cloud compute, Kubernetes, and continuous automation.
  • Build model registry, feature store, experiment tracking, and model observability infrastructure.
  • Create developer-facing APIs and CLI tools that make ML workflows simple and reproducible.
  • Implement CI/CD for continuous retraining, automated testing, and production model delivery.
  • Collaborate with AI researchers, robotics engineers, data platform engineers, and autonomy teams to deliver scalable infrastructure.

Requirements

  • 5+ years of software engineering experience, including at least 2+ years working on production ML infrastructure, data platforms, or MLOps systems.
  • Experience building ML platform components such as experiment tracking, model registries, training pipelines, or deployment systems.
  • Familiarity with MLflow, WandB, Airflow, Kubeflow, or similar orchestration and tracking tools.
  • Proficiency with AWS, GCP, or Azure; containers; and infrastructure as code such as CDK or Terraform.
  • Hands-on experience processing or modeling multimodal data, including sensor logs, camera streams, and behavior traces.
  • Comfort collaborating with research scientists, data engineers, and robotics or autonomy teams.

Nice to have

  • Experience with robotics, autonomous vehicles, drones, or embedded ML.
  • Contributions to open-source ML infrastructure or MLOps tooling.

Culture & Benefits

  • Remote-friendly environment with a fully distributed engineering team and flexible work arrangements.
  • Full-time benefits include a 401(k) plan with a 6% company match, stock options, and company-paid medical, dental, vision, and disability insurance.
  • Flexible unlimited PTO for exempt employees, or vacation and paid sick leave for non-exempt employees, plus 12 company holidays.
  • Paid parental leave, employee assistance support, professional development, and tuition reimbursement.
  • Relocation assistance, annual discretionary bonuses, and on-site catered lunches at Salem and Pittsburgh locations for eligible roles.

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†’