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Pytorch Developer Jobs in Berkeley, CA (NOW HIRING)

Mindlance

Python Developer

Concord, CA · On-site

$55.25 - $76/hr

ONLY W2(NO C2C/1099) Job title: Sr. Software Engineer Contract: 6 months (contingent, no guaranteed ... Proficiency in Python, PySpark, TensorFlow, PyTorch, and cloud platforms such as Google Cloud ...

Luminal

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 ...

Encord

DevOps Engineer

San Francisco, CA · On-site

$150K - $180K/yr

The role We're looking for a DevOps Engineer with 4-5 years of experience to join our growing ... PyTorch, CUDA, Ray What We Offer - Competitive salary and equity in a hyper growth startup. - Real ...

Ztek Consulting INC

Java + AI Developer

San Francisco, CA · On-site

$60 - $77.75/hr

Java + AI Developer Duration: 6-12 months Location: Onsite San Francisco , Palo Alto- CA/ New ... Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and experience with generative AI tools (e ...

Encord

DevOps Engineer

San Francisco, CA · On-site

$150K - $180K/yr

The role We're looking for a DevOps Engineer with 4-5 years of experience to join our growing ... PyTorch, CUDA, Ray What We Offer - Competitive salary and equity in a hyper growth startup. - Real ...

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Pytorch Developer information

What is a PyTorch Developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are the key skills and qualifications needed to thrive as a Pytorch Developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.
What are popular job titles related to Pytorch Developer jobs in Berkeley, CA? For Pytorch Developer jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Berkeley, CA look for? The top searched job categories for Pytorch Developer jobs in Berkeley, CA are:
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Pytorch Developer jobs near you

Member of Technical Staff, Machine Learning, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 17 days ago

Job description

Job Description

Member of Technical Staff, Machine Learning, Artificial Intelligence (AI) Required, Work From Home

As a Member of Technical Staff, Machine Learning, you will build core ML components.  The Member of Technical Staff will work on real production systems from day one, learning how large-scale ML behaves outside of research settings.  The Member of Technical Staff role is for engineers who want to develop strong systems judgment by shipping, debugging, and iterating on real-world ML.  This position is 100% Remote.

Member of Technical Staff Responsibilities:

- Build and improve ML components across data, training, evaluation, and inference.

- Fine-tune and adapt models as part of larger production systems.

- Implement evaluation and testing to understand model behavior.

- Help build and maintain data pipelines for real-world and synthetic data.

- Debug model issues, performance problems, and production incidents.

- Ship improvements iteratively and learn from real user feedback.

- Work closely with senior ML engineers and product teams.

- Work under real production constraints:  latency, cost, reliability, and safety

Member of Technical Staff Outcomes:

- ML models in production meet expected accuracy, latency, and reliability targets.

- Production issues are identified quickly, debugged effectively, and root causes addressed.

- Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable.

- Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features.

- Iterations on models and systems are driven by real-world signals and measurable improvements.

Qualifications

Member of Technical Staff Qualifications:

- Strong foundations in machine learning and modern neural architectures.

- Artificial Intelligence (AI) experience required.

- Some hands-on experience training, fine-tuning, or deploying ML models.

- Comfortable writing production-quality code and learning new tools quickly.

- Curious, coachable, and eager to learn from real systems in production.

- Able to work through ambiguity with guidance and grow ownership over time.

- Bias toward shipping, iteration, and continuous improvement.

- Tech Stack:  GPU, JAX, ML, Machine Learning, Python, and PyTorch.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Member of Technical Staff, GPU, JAX, Machine Learning, Member of Technical Staff, ML, Python, PyTorch, Programming, Programmer Analyst, Software Engineer, Software Developer, Work From Home, California Recruiters, IT Jobs, California Recruiting

Looking to hire a Member of Technical Staff in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire Members of Technical Staff for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!


Additional Information

Please check out all of our jobs at www.ginastechjobs.com.