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Pytorch Developer Jobs in Tacoma, WA (NOW HIRING)

AZX

ML Engineer (Senior)

Seattle, WA · On-site

$140K - $220K/yr

Expert-level Python and experience with PyTorch / TensorFlow * Deep expertise in at least one ... Strong engineering fundamentals: system design, scalability, testing, and monitoring * Track record ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $275K/yr

A team of engineers and scientists with backgrounds from University of Toronto, Stanford, EPFL, ASU ... Run experiments at scale with deep learning frameworks like PyTorch * Develop and maintain clean ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site

$160K - $275K/yr

A team of engineers and scientists with backgrounds from University of Toronto, Stanford, EPFL, ASU ... Run experiments at scale with deep learning frameworks like PyTorch * Develop and maintain clean ...

Adobe

Senior Customer Facing Applied AI Engineer

Seattle, WA · On-site +1

$118K - $163K/yr

Design and implement AI-backed services and APIs in Python using PyTorch or similar frameworks ... Strong programming skills in Python , including hands-on work with PyTorch or similar frameworks ...

Adobe

Senior Forward Deployed Engineer

Seattle, WA · On-site +1

$118K - $163K/yr

Design and implement AI-backed services and APIs in Python using PyTorch or similar frameworks ... What You Bring: * 8+ years of software engineering experience with 2+ years working with ML/AI or ...

Deloitte

Lead Generative AI Data Engineer III

Seattle, WA · On-site

$116K - $153K/yr

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ... Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow.

Workday

Senior/Principal AI Engineer

Seattle, WA

$142K - $196K/yr

Engineering, but brighter. About the Role As a Senior/Principal AI Engineer in Agent Factory, you ... Pytorch, TensorFlow * 6+ years of professional experience in building services to host machine ...

Adobe

Lead Customer Facing Applied AI Engineer

Seattle, WA · On-site +1

$116K - $153K/yr

Design and implement AI-backed services and APIs in Python using PyTorch or similar frameworks ... What You Bring: * 8+ years of software engineering experience with 2+ years working with ML/AI or ...

Oracle

Software Developer 4

Seattle, WA · On-site

Strong Python and ML frameworks (PyTorch, TensorFlow) * LLMs, embeddings, vector search, RAG pipelines, and fine-tuning * Data engineering: Spark, Kafka, Flink, OCI Streaming/Data Flow * Distributed ...

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All JobsPytorch Developer JobsPytorch Developer Jobs in Tacoma, WA

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 Tacoma, WA? For Pytorch Developer jobs in Tacoma, WA, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Tacoma, WA look for? The top searched job categories for Pytorch Developer jobs in Tacoma, WA are:
What cities near Tacoma, WA are hiring for Pytorch Developer jobs? Cities near Tacoma, WA with the most Pytorch Developer job openings:
Pytorch Developer jobs near you

ML Engineer (Senior)

AZX

Seattle, WA • On-site

$140K - $220K/yr

Full-time

Medical, PTO

Re-posted 9 days ago

Job description

Machine Learning Engineer (Senior)
About AZX
Our mission is to accelerate positive impact in critical industries through AI transformation. We specialize in physics-informed ML and enterprise AI solutions that directly address climate and sustainability challenges.
We're growing quickly and already work with category-leaders in real estate (CBRE), energy (LevelTen Energy), logistics (Flexe) and utilities (Puget Sound Energy).
We're a public benefit corporation, founded in 2024, and have been profitable from the beginning (bootstrapped with consulting).
We work on challenges in clean energy, decarbonization, climate risk, energy systems, and global economics. We're building our company for long-term success and aim to create the ultimate place to work for those passionate about AI and making a positive impact.
About the Role
We seek a Machine Learning (ML) Software Engineer to help us deliver for our clients and invest in our platform. You'll be one of the first full-time ML engineers and will have an enormous impact on all aspects of what we do.
You'll join a company founded by experienced, successful veterans in climate and AI. The team brings exceptional expertise from Microsoft, AI2, ARM, acquired startups, and even a major utility, including PhDs, published ML researchers, and former industry executives.
The role is initially 70% client delivery and 30% platform development, shifting to 50/50 over the first year.
Some of our client projects are enterprise-style, and some are fast innovation cycles. Over time, we'll be investing more in our own platform to accelerate client value.
What you will do
You will work on AI projects in client engagements and, over time, internal platform capabilities.
You will:
  • Turn ambiguous client problems into shipping code.
  • Drive projects from discovery to deployment
  • Collaborate with client and internal project teams
  • Design and write clean, scalable code at appropriate quality standards (sometimes "right", and sometimes "right now").
  • Design, integrate, and productionize ML solutions including predictive models, GenAI systems, physics-informed ML, and digital twins.
  • Collaborate with domain experts in energy, real estate, and climate to translate business needs into ML solutions
  • Advocate for engineering best practices and positive dev culture

Core Qualifications - Technical and foundational
  • 5+ years building and deploying ML systems in production environments
  • Expert-level Python and experience with PyTorch / TensorFlow
  • Deep expertise in at least one domain: NLP, Computer Vision, Time-Series, or Reinforcement Learning
  • Generative AI and LLM-related capabilities (e.g., prompt engineering, RAG, fine-tuning, LangChain, model evaluation tooling)
  • MLOps and infrastructure automation (e.g., CI/CD for ML, Docker, Kubernetes, Terraform, MLflow, Kubeflow)
  • Strong engineering fundamentals: system design, scalability, testing, and monitoring
  • Track record of translating ambiguous business problems into production ML solutions
  • Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, or Azure ML)
  • Champion for quality (model validation, reproducibility, monitoring, bias/variance checks)

Values and Culture Qualifications
  • High emotional intelligence and a learning mindset
  • Strong collaboration skills
  • Enjoy others' success and a fun, positive environment.
  • Comfortable making decisions in the face of ambiguity and course correcting as needed.

Bonus Qualifications (not required but a huge plus)
  • Experience in both startup and enterprise environments
  • Past work in energy, real estate, utilities, climate, or related fields
  • Bonus if you have experience and passion in one or more of
    • Advanced ML/AI frameworks and techniques (e.g., PyTorch Lightning, JAX, HuggingFace, ONNX optimizations)
    • Lower-level or performance-focused languages for ML acceleration (e.g., C++, Rust, CUDA)
    • Large-scale data and distributed training paradigms (e.g., Spark, Ray, Horovod, Dask)
    • Advanced data infrastructure (e.g., vector/graph databases, feature stores, data lakes)

Compensation & benefits
  • Competitive early-stage startup compensation (based on capabilities, experience, and location)
  • Bonus eligibility
  • Health insurance with meaningful coverage for dependents
  • Flexible paid time off
  • Equity
  • Fully remote culture with a cluster of teammates in Seattle
  • Training and learning opportunities
  • Be part of a fast-growing, profitable, mission-driven company with industry-leading clients tackling the massive opportunity of AI transformation in critical industries.

Logistics
  • Remote, but only USA/Canada
  • Must be willing to travel to the Seattle area for the final interview and travel 2x/year for company summits
  • Additionally, depending on location, candidates can expect to spend 10-20% of their time working onsite with clients.
  • Applicants must be currently authorized to work in the United States on a full-time basis.
  • We are currently unable to sponsor or take over sponsorship of employment visas.

Next steps
If this job sounds like a great fit, we'd love to hear from you. If you feel aligned with the company but don't check ALL of these boxes, we'd still love to hear from you!

Apply