ZipRecruiter

Log In

1

Tensorflow Pytorch Jobs in Concord, CA (NOW HIRING)

Max AI, Inc.

AI Engineer

San Francisco, CA

$150K - $250K/yr

  • Medical

  • Dental

  • Vision

Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers (including others for working with huggingface models) * Expertise in AI/ML and specifically in NLP ...

Max AI, Inc.

AI Engineer

San Francisco, CA · On-site

$150K - $250K/yr

  • Medical

  • Dental

  • Vision

Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers (including others for working with huggingface models) * Expertise in AI/ML and specifically in NLP ...

Venturesoft

Data Scientist

Pleasanton, CA · On-site

  • PTO

Strongprogramming skills in Python, R, or Julia, with expertise in librarieslike TensorFlow, PyTorch, or Scikit-learn. * In-depthunderstanding of large language models (e.g., GPT, BERT) and ...

Ztek Consulting INC

Java + AI Developer

San Francisco, CA · On-site

$60 - $77.75/hr

Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and experience with generative AI tools (e.g., Bedrock, SageMaker). * Infrastructure as Code (IaC): Experience with Terraform or CloudFormation.

Kastle AI Inc

Staff AI Engineer

San Francisco, CA · On-site

$250K - $350K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch) * Experience with LLM orchestration frameworks (LangChain, LlamaIndex, or similar) * Track record of shipping end to ...

RheoSense Inc.

Software Engineer

San Ramon, CA · On-site

... TensorFlow, PyTorch, or similar tools. • Contributions to AI‑related research, publications, or impactful projects. Company : RheoSense is a global high-tech company based in the Bay Area of ...

Tamarind Bio, Inc

Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Python, React, AWS (EC2, S3, DynamoDB), Docker, CUDA, Conda, TensorFlow/PyTorch; notebooks; bash/Slurm; APIs & web apps. Requirements * Solid programming and automation skills * Experience with ...

previous page

Showing results 41-60

All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Concord, CA

Tensorflow Pytorch information

See Concord, CA salary details

$41.1K

$134.7K

$215.6K

How much do tensorflow pytorch jobs pay per year?

As of Aug 18, 2026, the average yearly pay for tensorflow pytorch in Concord, CA is $134,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,100.00 and $149,200.00 per year, depending on experience, location, and employer.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

What are popular job titles related to Tensorflow Pytorch jobs in Concord, CA?

For Tensorflow Pytorch jobs in Concord, CA, the most frequently searched job titles are:

What job categories do people searching Tensorflow Pytorch jobs in Concord, CA look for?

The top searched job categories for Tensorflow Pytorch jobs in Concord, CA are:

What cities near Concord, CA are hiring for Tensorflow Pytorch jobs?

Cities near Concord, CA with the most Tensorflow Pytorch job openings:

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Concord, CA as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $134,677 per year, or $64.7 per hour.

Software Engineer - DevOps and MLOps

Maven Robotics

San Francisco, CA • On-site

$62.25 - $85/hr

Full-time

Re-posted 6 days ago

Job description

Company Overview
Maven Robotics is building the world's leading general-purpose AI robots.
We are currently operating in stealth and are growing the world's best team in AI robotics. We are looking for self-starters that are the world's best in their field, who can innovate from a deep understanding of the fundamentals, and who share our values of unwavering truth seeking and integrity, humility, curiosity, and relentless determination.
Role Description
We are looking to recruit an exceptional Software Engineer - Software Development and Machine Learning Operations to build and maintain the infrastructure that supports our software development, machine learning models, and AI operations.
In this role you will:
  • Design, implement, and manage CI/CD pipelines to facilitate seamless code integration and deployment.
  • Monitor and optimize system performance, availability, and security.
  • Automate infrastructure orchestration and configuration management using tools such as Kubernetes, Ansible, and similar.
  • Configure and maintain data infrastructure appliances.
  • Troubleshoot and resolve issues related to applications, infrastructure, and deployments.
  • Work closely with our development and AI teams to deliver solutions that increase efficiency and stability.
Qualifications
Must-have:
  • BS or MS in software engineering, computer science, or a related field.
  • Proven experience standing up a CI/CD system from scratch.
  • Experience with multi-language build systems (e.g., Bazel, Bob).
  • Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
  • Experience with automation tools (e.g., Terraform, Ansible, GitHub Actions, Jenkins) and version control systems (e.g., Git).
  • Strong programming skills in languages such as Python, Go, or Java.
  • Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions.
  • Enthusiasm for working in a fast paced startup environment and eagerness to support the team on a variety of topics.

Nice-to-have:
  • Experience with MLOps platforms (e.g., MLflow, Kubeflow, or SageMaker).
  • Knowledge of big data technologies (e.g., Hadoop, Spark, or Kafka).
  • Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack).
  • Understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-Learn).
  • Experience with edge computing and IoT device management.
  • Knowledge of security best practices and compliance standards in AI/ML environments.
  • Proficiency in database management systems (e.g., PostgreSQL, MongoDB, or Cassandra).
  • Experience with infrastructure-as-code tools (e.g., CloudFormation, Pulumi).
  • Knowledge of GitOps practices and tools (e.g., ArgoCD, Flux).

Apply