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

Computer Vision Engineer

Los Angeles, CA · On-site

$190K - $230K/yr

We combine precision opto-mechanical hardware, embedded compute, cloud orchestration, and developer ... Experience in machine learning model training using PyTorch or TensorFlow. * Experience in ...

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 ...

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

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 • ...

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 ...

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 ...

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 ...

We are searching for dedicated engineers to join our exciting team of innovators. In this role, you ... Strong background in AI/ML and familiarity with the tools such as PyTorch and TensorFlow.

Showing results 21-40

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

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

What cities near Hermosa Beach, CA are hiring for Pytorch Developer jobs?

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

Computer Vision Engineer

Observable Space

Los Angeles, CA • On-site

$190K - $230K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 9 days ago


Job description

About Observable Space
At Observable Space, we're redefining how humanity observes and connects with the universe. We're a vertically integrated, high-growth, space technology company building industry-leading precision optics platforms for Earth and in space. Our systems are trusted by thousands of customers, including NASA, JPL, SpaceX, Boeing, RTX, the US Space Force and the U.S. Department of War, leading research institutions and international partners.
We combine precision opto-mechanical hardware, embedded compute, cloud orchestration, and developer-friendly APIs into world class products at scale with in-house manufacturing. From advanced ground stations, on-orbit sensor suites, free space optical lasercom, to distributed compute platforms, we deliver the foundational systems enabling continuous, real-time navigation, observation, and communication in space.
Observable Space is backed by top-tier institutional investors including Lux Capital, Upfront Ventures, RTX Ventures, Detroit Venture Partners and Embedded Ventures. To learn more, visit observable.space.
About The Role
We are seeking a highly experienced and motivated Computer Vision Engineer to join our dynamic team. Join a rockstar team of experienced entrepreneurs, engineers, scientists and astronomers from SpaceX, DARPA, SmartThings, and Bird. This role will report to the CTO.
Responsibilities
  • Stay abreast of the latest advancements in SDA/SSA, Photometry, and novel image processing techniques by regularly reviewing research papers and publications.
  • Collaborate with software development teams to conceptualize, develop, and implement proof of concept based on cutting-edge research.
  • Evaluate, train, and customize combination models based on state of the art backbones (Unet, vision transformer, resenet, etc)
  • Own our image processing pipelines from end to end - from camera sensor readout to publishing extractions to our cloud data warehouse.
  • Design and generate simulated data for rapid testing of proof of concept algorithms.
  • Coordinate with operations and engineering teams to gather real-world data for validating algorithms against synthetic test cases.
  • Lead complex multidisciplinary research projects, ensuring detailed and rigorous scientific processes.
  • Effectively communicate complex research findings to both technical and non-technical stakeholders, providing clear and concise insights.
Basic Qualifications
  • 10+ years of experience in a relevant commercial or academic research field.
  • Strong foundation in mathematics or computational mathematics.
  • Strong and demonstrated programming ability in C++ or C in a professional environment
  • Demonstrated experience in first principles engineering and science.
  • Detail-oriented with the ability to manage and execute complex, multidisciplinary research projects.
  • Experience in machine learning model training using PyTorch or TensorFlow.
  • Experience in classical vision techniques with an emphasis on OpenCV.
Preferred Qualifications
  • Masters or Ph.D. in Engineering, Mathematics, or a related field of study.
  • Experience in machine learning model training using PyTorch or TensorFlow.
  • Knowledge or experience in astrodynamics.
What We Offer
Competitive Compensation - A salary package aligned with industry standards and your experience.
Equity Opportunities - Take part in our success with stock options.
Flexible Work Environment - Enjoy working from our office or in a hybrid work setup with the flexibility to work remotely part of the week. We require a minimum of 3 days per week in our office to support collaboration and team culture. (LA Office only)
Unlimited PTO (exempt only) - Take the time you need with our flexible, trust-based vacation policy, including paid holidays. We encourage everyone to rest, recharge, and take care of themselves.
Health & Wellness - Comprehensive medical, dental, and vision coverage with 100% of the premium paid by the employer for employees.
Cutting-Edge Tools - Get access to the latest hardware and software you need to do your best work.
Mission-Driven Culture - Be part of a team working on meaningful challenges with real-world impact.
Inclusive Team - We foster a supportive and diverse workplace where all voices are valued.
Observable Space is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.