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Pytorch Developer Jobs in Hawthorne, CA (NOW HIRING)

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 ...

Cambro

Azure AI Engineer

Huntington Beach, CA

$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 ...

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 ...

Commure

Senior Software Engineer, AI Agents

Los Angeles, CA · On-site

$132K - $174K/yr

... of DevOps practices and technologies (Docker, Kubernetes, CI / CD, release management) • ... PyTorch, TensorFlow, etc.) • Experience with Nodejs build systems (rush, nx, vite, etc.) • ...

Commure

Senior Software Engineer, AI Agents

Los Angeles, CA · On-site

$132K - $174K/yr

... of DevOps practices and technologies (Docker, Kubernetes, CI / CD, release management) • ... PyTorch, TensorFlow, etc.) • Experience with Nodejs build systems (rush, nx, vite, etc.) • ...

HeyGen

Data Infrastructure Engineer

Los Angeles, CA · On-site

$115K - $151K/yr

As a Data Infrastructure Engineer, you will lead the development of fundamental data systems and ... Familiarity with AI and machine learning frameworks like TensorFlow or PyTorch. Preferred ...

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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 Hawthorne, CA? For Pytorch Developer jobs in Hawthorne, CA, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Hawthorne, CA look for? The top searched job categories for Pytorch Developer jobs in Hawthorne, CA are:
What cities near Hawthorne, CA are hiring for Pytorch Developer jobs? Cities near Hawthorne, CA with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Motorola Solutions, Inc.

Los Angeles, CA • On-site

$195K - $225K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Motorola Solutions rating

8.7

Company rating: 8.7 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

11th of 139 rated electronics manufacturers

Job description

Company Overview
At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.
Department Overview
Silvus Technologies is dedicated to one mission: connecting those who keep us safe. We do so by delivering the most advanced Mobile Ad-hoc Network (MANET) radios powered by our custom and ever evolving Mobile-Networked MIMO waveform. Together, our radios and waveform provide vital communications for mission-critical applications in the harshest environments from underground tunnels to high-altitude balloons.
Silvus StreamCaster™ radios are being rapidly adopted by customers all over the world ranging from the U.S. and Allied Nations Departments of Defense to International, Federal, State, and Local Law Enforcement agencies, all the way to the Superbowl, Grammys, and industry-leading drone, robot, and unmanned systems manufacturers.
We're excited about the work we are doing in AI. Founded on our many years of experience and knowledge, we know the mission-critical needs of our customers are unique and different from the consumer technologies that leverage AI today.
Silvus Technologies is a wholly owned subsidiary of Motorola Solutions, Inc.
Job Description
Would you like to join a talented group of people, doing challenging work, with the mission of "Keeping Our Heroes Connected"?
You will join the Signals and Systems group where you will be developing machine learning solutions that enhance performance in wireless communication systems. Your work will directly impact our customers in the form of products and services that make use of signal processing technology. Unlike similar roles in the industry, the result of your work has the potential to impact the entire lifecycle of the workflows impacting people's lives in moments that matter.
Roles and Responsibilities
  • Manage inputs gathered from unusual sources, including captures from software defined radio (SDR) over a wide range of RF signals
  • Combine knowledge of signal processing, probability and statistics, machine learning, and modern methods of artificial intelligence to build large-scale and high-throughput systems handling vast quantities of data
  • Collaborate with UX designers, infrastructure engineers, and other research scientists to develop prototypes and integrate ML algorithms that work across a wide range of scales from resource-constrained edge compute to full-sized data centers
  • Stay current with the latest machine learning research for wireless and embedded systems, applying ingenuity and a deep understanding of the problems at hand

Required Skills
  • 6+ years experience as a machine learning engineer
  • Expert knowledge in Python and PyTorch or TensorFlow
  • Strong foundation in supervised and unsupervised learning and statistical modeling
  • Strong mathematics background, particularly in linear algebra and probability
  • Strong written and oral communication skills

Desired Skills
  • Advanced degree in a quantitative field such as electrical and computer engineering, physics, mathematics or statistics
  • Familiarity with relational and NoSQL databases
  • Familiarity with RF signal processing and SDR for signals intelligence or electronic warfare
  • Familiarity with cloud-based infrastructure: Azure and/or AWS
  • Experience tracking projects with Jira, Azure DevOps or similar tooling
  • Experience with Linux, DevOps (command line)
  • Experience with containerized infrastructure (Docker, Kubernetes)
  • Familiarity with regulated environments, such as sovereign clouds

Target Base Salary Range: $195,000 USD - $225,000 USD
Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.
As a part of the application process, we encourage you to include a link to code you've written.
Note: This role is 100% on-site in our Los Angeles office.
#LI-MP2
#LI-ONSITE
Basic Requirements
  • Bachelor degree with 8+ years experience as a machine learning engineer
  • AND 6+ years of Python and PyTorch or TensorFlow experience
  • Must be a U.S. citizen with the ability to obtain necessary security clearance as required by government contract.

Travel Requirements
None
Relocation Provided
None
Position Type
Experienced
Referral Payment Plan
No
Our U.S. Benefits include:
  • Incentive Bonus Plans
  • Medical, Dental, Vision benefits
  • 401K with Company Match
  • 10 Paid Holidays
  • Generous Paid Time Off Packages
  • Employee Stock Purchase Plan
  • Paid Parental & Family Leave
  • and more!

EEO Statement
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.
We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.

What Motorola Solutions employees say

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Benefits

Hours and flexibility

Workplace

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About Motorola Solutions

Sourced by ZipRecruiter

At Motorola Solutions, we believe that everything starts with safety. It's the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class. As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways. At Motorola Solutions, we're ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1928

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