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Pytorch Developer Jobs in Huntington Beach, CA (NOW HIRING)

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

Expert knowledge in Python and an ML framework such as PyTorch or TensorFlow * Experience with RF ... Experience with Linux, DevOps (command line) * Experience with containerized infrastructure (Docker ...

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

Expert knowledge in Python and an ML framework such as PyTorch or TensorFlow * Strong foundation in ... Experience with Linux, DevOps (command line) * Experience with containerized infrastructure (Docker ...

Capsule.Video Inc

AI Engineer

Los Angeles, CA · On-site

PyTorch) * Experience with data preprocessing, feature engineering, and model selection and optimization * Experience building and deploying ML models in production environments * Strong problem ...

Mango Inc

Computational Imaging Engineer

Los Angeles, CA · On-site

$120K - $141K/yr

... PyTorch • Strong cross-disciplinary communication skills; ability to work closely with microbiologists and engineers • Passion for solving real-world problems with end-to-end system thinking • ...

Cambro

Azure AI Engineer

Huntington Beach, CA · On-site

$103K - $135K/yr

Strong proficiency in Python and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow). Hands-on ... Strong understanding of Devops and MLOps, version control, and CI/CD for ML. Working knowledge of ...

Cambro

Azure AI Engineer

Huntington Beach, CA · On-site

$103K - $135K/yr

... PyTorch, TensorFlow). • Hands-on experience with Azure AI services, Azure Machine Learning, and ... Devops and MLOps, version control, and CI/CD for ML. • Working knowledge of MCP (Model Context ...

Divergent

AI Solutions Engineer

Torrance, CA · On-site

Purpose We are looking for an AI Solutions Engineer who not only builds cuttingedge generativeAI ... Experience with ML/LLM libraries such as vLLM, LangChain, PyTorch, and HuggingFace. * Practical ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... Train, optimize, and deploy deep learning models using PyTorch, TensorFlow, or equivalent ...

CYNET SYSTEMS

AI/ML Engineer

Aliso Viejo, CA · On-site

$52 - $57/hr

Overall AI/ML Engineering Experience - 5+ years. * Machine Learning Algorithms (Classification ... Experience with TensorFlow / PyTorch - 1-2+ years. * Experience with MLOps tools & practices - 1-2+ ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... Train, optimize, and deploy deep learning models using PyTorch, TensorFlow, or equivalent ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... Train, optimize, and deploy deep learning models using PyTorch, TensorFlow, or equivalent ...

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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 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 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 popular job titles related to Pytorch Developer jobs in Huntington Beach, CA?

For Pytorch Developer jobs in Huntington Beach, CA, the most frequently searched job titles are:

What job categories do people searching Pytorch Developer jobs in Huntington Beach, CA look for?

The top searched job categories for Pytorch Developer jobs in Huntington Beach, CA are:

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Cities near Huntington Beach, CA with the most Pytorch Developer job openings:

Pytorch Developer jobs near you

Staff Data Scientist

Edwards Lifesciences Corporation

Irvine, CA • On-site

Full-time

Re-posted 26 days ago

Edwards Lifesciences rating

8.2

Company rating: 8.2 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

86th of 545 rated manufacturers

Job description

Many structural heart patients suffer from heart failure with limited options. Our Implantable Heart Failure Management (IHFM) team, part of the AI, Product and Platforms organization, is at the forefront of addressing these unmet patient needs through pioneering technology that enables early, targeted therapeutic intervention. Our innovative solutions are not just transforming patient care but also creating a unique and exciting environment for our team members. It is our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey.
At Edwards Lifesciences, the Implantable Heart Failure Management (IHFM) AI, Product and Platforms organization designs and builds the software and data products that clinicians and patients depend on. As a Staff Data Scientist, you design the modeling and evaluation approaches that others build on for a problem class, set validation strategy, and raise the modeling rigor of the teams around you, while remaining deeply hands-on.
Based in Irvine, CA, you'll join a high-impact medtech innovation hub in the heart of Orange County, collaborating in person with cross-functional teams to shape patient-focused technology.
How you'll make an impact
  • Approach design. Design the modeling and evaluation approaches others build on for a problem class, for example, medical imaging segmentation or multimodal patient-state modeling, and build the reference implementations yourself.
  • Advanced paradigms. Bring advanced paradigms to bear where they fit, including self-supervised and contrastive learning, multi-task learning, and cross-modal fusion.
  • Validation strategy. Set offline validation, calibration, and clinical performance evaluation strategy, including subgroup and fairness analysis, with Medical Affairs and Clinical Science.
  • Reusable practice. Establish reusable modeling patterns, evaluation harnesses, and documentation practices that meet regulatory submission expectations.
  • Efficiency & scale. Apply label-efficient methods (active, semi-supervised, weak supervision) and efficient training at scale (distributed training with Ray or PyTorch).
  • Research evaluation. Lead evaluation of emerging AI/ML for health research and decide what to adopt for IHFM problems.
  • Technical leadership. Mentor senior and mid-level data scientists and shape the research to productization handoff with AI/ML Engineers (Applied).
  • Model performance, optimization & process enablement. Guide implementation of processes and tools to develop, analyze, and improve model performance and data accuracy; apply predictive modeling and algorithms to datasets to optimize outcomes (e.g., clinical trial experience) and ensure models remain current.
  • Stakeholder partnership, testing & reporting. Partner with internal and external stakeholders to plan implementation, testing, training, and monitoring of machine learning models; conduct ad hoc analyses (e.g., effectiveness metrics) and present results and insights to leadership.
  • Data governance, sourcing & enablement. Drive processing of structured and unstructured data with data stewards, including data governance practices; identify and integrate diverse data sources to enhance solutions in collaboration with business stakeholders.

What you'll need (Required):
  • Bachelor's in Computer Science, Engineering, Biostatistics or Scientific field plus 6 years of experience including either industry or industry / education -or- Master's plus 5 years -or- PhD plus 2 years.
  • This is an onsite role based in Irvine, CA. Relocation assistance is not provided, and candidates must reside within a 50-mile radius of Irvine to be considered.

What else we look for (Preferred):
  • Deep domain expertise in cardiac, hemodynamic, imaging, or physiological modeling.
  • Recognized depth across multiple paradigms and architecture families, including self-supervised and multimodal approaches.
  • Depth in one or more data modalities (physiological modeling, medical imaging, or multimodal fusion) and in calibration and uncertainty quantification.
  • The ability to set modeling and validation standards that others follow, and to represent modeling decisions to clinical and regulatory partners.
  • Fluency across the modeling stack (for example, PyTorch, PyTorch Lightning, and experiment tracking) sufficient to set team practice.
  • Advanced generative or graph methods (diffusion models, graph neural networks), or federated learning methodology.
  • Demonstrated technical leadership and mentorship.
  • Performance engineering for training (C++, CUDA, JAX, or DeepSpeed).
  • A history of shaping clinical validation strategy and regulatory submissions for models.
  • Recognized research contributions in AI/ML for health.
  • Active learning or weak supervision to reduce clinical labeling cost.

Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families.
For California (CA), the base pay range for this position is $126,000 to $178,000 (highly experienced).
The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website.
Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.

What Edwards Lifesciences employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Edwards Lifesciences logo

About Edwards Lifesciences

Sourced by ZipRecruiter

Edwards Lifesciences is the global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. Driven by a passion to help patients, the company collaborates with the world's leading clinicians and researchers to address unmet healthcare needs, working to improve patient outcomes and enhance lives. Headquartered in Irvine, California, Edwards Lifesciences has extensive operations in North America, Europe, Japan, Latin America and Asia and currently employs over 15,000 individuals worldwide. For us, helping patients is not a slogan - it's our life's work. From developing devices that replace or repair a diseased heart valve to creating new technologies that monitor vital signs in the critical care setting, we focus on helping patients regain and improve the quality of their life.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Irvine, CA, US

Year founded

1958

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