1

Senior Pytorch Jobs (NOW HIRING)

Senior GenAI Engineer Location: Jersey City, NJ (Onsite) Pay Rate: $60-$70/Hour Contract: Contract ... Proficiency in Python and Java (R preferred) with experience using TensorFlow, PyTorch, and Scikit ...

Senior AI Engineer

Piscataway, NJ · On-site

$106K - $146K/yr

Senior AI Engineer Location: Piscataway, NJ (Hybrid from day one) Local to NJ candidates are ... Develop and deploy machine learning models using Python and frameworks like PyTorch and TensorFlow.

Senior AI/ML Engineer

South Edmeston, NY · On-site

$104K - $143K/yr

The ideal candidate should have strong expertise in Python, LLM / Agentic AI, VLLM / LLM, PyTorch along with experience working in fast-paced enterprise environments. * Seeking a Senior AI Engineer ...

New

Senior Compiler Engineer

San Francisco, CA · On-site

$123K - $169K/yr

They are seeking a Senior Compiler Engineer to design and build core compiler infrastructure ... Luminal provides a machine learning compiler and serverless cloud platform that automates PyTorch ...

Sr Software Engineer AI-ML

Irving, TX · On-site

$113K - $149K/yr

Echo IT Solutions is a company seeking a Senior Software Engineer specializing in AI and Machine ... PyTorch, TensorFlow) • Data engineering skills to build and deploy models • Mastering ...

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99K - $135K/yr

Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services) Key Responsibilities: · Design and implement scalable data pipelines for large-scale ...

Senior ML Software Engineer, Data Plane

Cupertino, CA · On-site

$151K - $199K/yr

... PyTorch model definition through distributed execution on custom hardware. - Integrate custom accelerator backends into open-source ML serving frameworks (vLLM, PyTorch), including scheduler ...

next page

Showing results 1-20

Senior Pytorch information

See salary details

$25K

$80.3K

$163.5K

How much do senior pytorch jobs pay per year?

As of Aug 27, 2026, the average yearly pay for senior pytorch in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.
More about Senior Pytorch jobs

What cities are hiring for Senior Pytorch jobs?

Cities with the most Senior Pytorch job openings:

What are the most commonly searched types of Pytorch jobs?

The most popular types of Pytorch jobs are:

What states have the most Senior Pytorch jobs?

States with the most job openings for Senior Pytorch jobs include:

Infographic showing various Senior Pytorch job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior ML Infrastructure Engineer (PyTorch, Kubernetes, GPU Training)

Finoit Inc.

Redwood City, CA • On-site

$132K - $180K/yr

Other

Re-posted 10 days ago


Job description

Senior ML Infrastructure Engineer (PyTorch, Kubernetes, GPU Training)

Short Job Description

We are seeking a Senior ML Infrastructure Engineer to design and scale the infrastructure powering large-scale machine learning training workloads. In this role, you'll build high-performance GPU training platforms, optimize distributed training pipelines, and improve the developer experience for ML researchers.

Responsibilities:

  • Design and scale distributed ML training infrastructure for large GPU clusters.
  • Build and optimize training pipelines using PyTorch, DeepSpeed, and distributed training frameworks.
  • Develop and maintain job scheduling systems using Kubernetes and/or SLURM.
  • Create high-throughput data pipelines for large-scale multimodal datasets.
  • Optimize GPU utilization, memory efficiency, and overall system performance.
  • Build low-latency inference pipelines for production ML deployments.

Required Skills:

  • 7+ years of experience in ML Infrastructure, HPC, or Distributed Systems.
  • Strong experience with PyTorch, DeepSpeed, FSDP, ZeRO, or similar distributed training frameworks.
  • Hands-on experience with Kubernetes, cloud platforms (AWS/Google Cloud Platform), and containerized environments.
  • Strong understanding of distributed systems, GPU optimization, NCCL, memory management, and performance tuning.
  • Experience building scalable ML infrastructure from development through production.

Location: Redwood City, CA (On-site)
Employment Type: Full-Time

Nice to Have:

  • Experience with multimodal AI, robotics data pipelines, Triton, TensorRT, custom ML kernels, or ML compiler/runtime optimization.