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Senior Pytorch Jobs (NOW HIRING)

Senior Machine Learning Engineer, AI, SIML

Cupertino, CA · On-site

$154K - $213K/yr

As a senior machine learning engineer on our team, you will design software systems and algorithms ... We are especially looking for PyTorch-focused ML experts driving system-level efficiency from on ...

Sr Python Developer

Thonotosassa, FL · On-site

$109K - $147K/yr

Job role: Sr Python Developer with Node JS Job Location: Tampa, FL onsite Interview type- face to ... Expertise in PyTorch or TensorFlow, plus libraries like Scikit-learn, Keras, and Hugging Face.

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.

Proven ability to apply GNNs/transformers-based optimization to PyTorch model graph and Kineto ... If you are a senior data engineer passionate about building largescale, highimpact data platforms ...

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 ...

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Senior Pytorch information

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How much do senior pytorch jobs pay per year?

As of Jun 26, 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.
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Infographic showing various Senior Pytorch job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 82% Physical, 3% Hybrid, and 15% 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

This job post has expired 2 days ago. Applications are no longer accepted.


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.