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Python Ml Developer Jobs in Bellevue, WA (NOW HIRING)

Develop and maintain high-performance ML infrastructure components in C++ and Python, ensuring ... Mentor other engineers on ML infrastructure best practices, debugging methodologies, and ...

Core responsibilities As an AI/ML Engineer, you will contribute to the design and implementation of ... Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow ...

Core responsibilities As an AI/ML Engineer, you will contribute to the design and implementation of ... Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow ...

Core responsibilities As an AI/ML Engineer, you will contribute to the design and implementation of ... Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow ...

ML Engineer (Senior)

Seattle, WA · On-site

$140K - $220K/yr

You'll be one of the first full-time ML engineers and will have an enormous impact on all aspects ... Expert-level Python and experience with PyTorch / TensorFlow * Deep expertise in at least one ...

Core responsibilities As an AI/ML Engineer, you will contribute to the design and implementation of ... Python, Spark, Airflow, MLFlow, feature stores, cloud ML platforms Must haves Acknowledge the ...

Senior Staff ML Engineer

Seattle, WA · On-site

$118K - $163K/yr

Proficient in Python, Java or similar general-purpose programming languages. * Bachelor's degree or ... AI/ML initiatives * Extensive experience using cloud provider solutions such as Azure and AWSto ...

AI/ML Scientist

Seattle, WA · On-site

$147 - $193/hr

Collaborating with product and engineering teams to embed AI models into end to end business ... Experience with ML implementation using commonly used tools such as Python, pyTorch, cloud ML ...

New

... Python, ML frameworks, training AI models, and an understanding of networking protocols, data ... Career Level - IC4 As a Principal AI Networking Developer you will be responsible for building and ...

Showing results 21-40

Python Ml Developer information

See Bellevue, WA salary details

$14

$66

$97

How much do python ml developer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python ml developer in Bellevue, WA is $66.16, according to ZipRecruiter salary data. Most workers in this role earn between $54.52 and $75.14 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Bellevue, WA?

For Python Ml Developer jobs in Bellevue, WA, the most frequently searched job titles are:

What job categories do people searching Python Ml Developer jobs in Bellevue, WA look for?

The top searched job categories for Python Ml Developer jobs in Bellevue, WA are:

What cities near Bellevue, WA are hiring for Python Ml Developer jobs?

Cities near Bellevue, WA with the most Python Ml Developer job openings:

Infographic showing various Python Ml Developer job openings in Bellevue, WA as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 14% Part Time, and 6% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution, with an average salary of $137,618 per year, or $66.2 per hour.

Software Engineer, Systems ML

Meta

Bellevue, WA

$154K/yr

Full-time

Re-posted 2 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies


Job description

Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that powers Meta's products at massive scale. In this role, you will design and develop high-performance ML systems, working across the full stack from model training and inference pipelines to hardware-aware optimizations. You will collaborate with researchers, platform engineers, and product teams to accelerate ML workloads and improve the efficiency of AI infrastructure that serves billions of users.
Software Engineer, Systems ML Responsibilities:
  • Design, build, and optimize large-scale ML training and inference systems, including distributed computing frameworks and hardware-accelerated pipelines
  • Develop and maintain high-performance ML infrastructure components in C++ and Python, ensuring reliability, scalability, and low-latency execution
  • Identify and resolve performance bottlenecks across the ML stack using profiling, instrumentation, and benchmarking tools
  • Architect and evaluate trade-offs in ML system design, including memory bandwidth, compute utilization, and I/O throughput
  • Partner with research and product teams to translate ML model requirements into efficient infrastructure solutions
  • Define and track system-level metrics and service level objectives to maintain production reliability of ML serving systems
  • Lead technical design reviews and contribute to engineering standards for ML systems across the organization
  • Mentor other engineers on ML infrastructure best practices, debugging methodologies, and performance optimization techniques
  • Drive adoption of AI-augmented development workflows to expand engineering productivity and broaden the scope of deliverables
  • Contribute to staged rollout strategies using feature flagging and experimentation frameworks to safely deploy ML system changes

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 6+ years of experience in software engineering with a focus on machine learning systems, AI infrastructure, or high-performance computing
  • Experience developing and optimizing ML training or inference pipelines using frameworks such as PyTorch, TensorFlow, or equivalent
  • Experience with distributed computing architectures and large-scale systems design for ML workloads
  • Experience programming in C++ and Python for performance-critical systems
  • Experience using profiling and performance analysis tools to identify and resolve bottlenecks in ML or compute-intensive systems

Preferred Qualifications:
  • Experience optimizing large-scale ranking and recommendation model inference on AI accelerator hardware
  • Experience with hardware-software co-design, including numerics optimization and SIMD or vectorization techniques
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with GPU programming using CUDA, ROCm, or equivalent hardware accelerator kernel development
  • Experience with ML compiler technologies such as MLIR, LLVM, TVM, XLA, or IREE
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$154,003/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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