Senior ML Infrastructure Engineer, Autonomy

well-funded deeptech startup

California (MO)

On-site

USD 120,000 - 160,000

Full time

14 days+
Application generator

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

Get past ATS filters

Job summary

A well-funded deeptech startup in California is seeking a Senior ML Infrastructure Engineer. The ideal candidate will have a strong background in machine learning and experience with containerization systems like Kubernetes and Docker. This role involves building software components to solve real-world ML challenges and requires excellent debugging and analytical skills.

Join a team that thrives on high-performance computing and autonomous system development. If you’re passionate about machine learning and technology, we’d love to speak with you.

Qualifications

  • Proven background applying machine learning approaches using rich data.
  • Strong understanding of machine learning foundations.
  • Experience with cloud data processing technologies.

Responsibilities

  • Building software components to address real-world machine learning challenges.
  • Leading, developing, and managing containerization systems.
  • Debugging and analytical problem-solving.

Skills

Machine Learning
Docker
Kubernetes
PyTorch
Tensorflow
Cloud Data Processing
Analytical Skills

Job description

A leading Autonomy software organization are looking for a Senior ML Infrastructure Engineer. If you have a proven background applying machine learning approaches using rich data, collaborating across high-performance computing, machine learning, and autonomous system development then they’d be interested in speaking with you.

Job Responsibilities:

  • Building software components to address real-world machine learning challenges.
  • Leading, developing, and managing containerization systems such as Kubernetes, Docker.
  • Experience with ML modeling frameworks (PyTorch, Tensorflow, etc.).
  • Excellent debugging, analytical and problem-solving skills
  • Strong understanding of machine learning foundations.
  • Experience working with cloud data processing technologies, such as Apache Spark, ElasticSearch, SQL, etc.
Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Senior ML Data Systems Engineer
Senior ML Data Systems Engineer

Motional • Pittsburgh

On-site
USD 149,000 - 199,000
Senior ML Infrastructure Engineer – Autonomy Platform
Senior ML Infrastructure Engineer – Autonomy Platform

Socket.dev • Mountain View (CA)

On-site
USD 194,000 - 352,000
Senior ML Data Engineer — Scale Data Pipelines for Autonomy
Senior ML Data Engineer — Scale Data Pipelines for Autonomy

Nuro • Mountain View (CA)

On-site
USD 193,000 - 353,000
Senior ML Infrastructure Engineer — Autonomy Platform
Senior ML Infrastructure Engineer — Autonomy Platform

Nuro • Mountain View (CA)

On-site
USD 194,000 - 352,000
Staff ML Data Engineer — Autonomy Infra Leader
Staff ML Data Engineer — Autonomy Infra Leader

Kindredventures • Mountain View (CA)

On-site
USD 193,000 - 353,000
Annual performance bonus
Equity options
Competitive benefits package
Senior ML Infrastructure Engineer Build Scalable AI Pipelines
Senior ML Infrastructure Engineer Build Scalable AI Pipelines

well-funded deeptech startup • California (MO)

On-site
USD 120,000 - 160,000
Senior Machine Learning Engineer
Senior Machine Learning Engineer

Rise Technical • United States

On-site
USD 150,000 - 230,000
Senior Machine Learning Engineer
Senior Machine Learning Engineer

Bollinger Shipyards, Inc. • Raceland (LA)

On-site
USD 140,000 - 210,000
Senior ML Data Backend Engineer - AWS Pipelines
Senior ML Data Backend Engineer - AWS Pipelines

Motional • Boston (MA)

On-site
USD 149,000 - 199,000
Medical, dental, vision
401k with company match
Health saving accounts
+2
Senior ML Infrastructure Engineer
Senior ML Infrastructure Engineer

Harnham • New York (NY)

On-site
USD 150,000 - 200,000