ZipRecruiter

Log In

1

Senior Machine Learning Engineer Jobs in Bothell, WA

Apple Inc.

Sr. Machine Learning Engineer

Seattle, WA · On-site

$184.70 - $277.60/hr

As part of our team, you will be leveraging and improving upon the latest advancements in machine learning and software engineering to understand user queries and intents, retrieve and rank documents ...

Medium

Senior Machine Learning Engineer

Seattle, WA · On-site

$180 - $215/hr

You'll collaborate closely with machine learning scientists, software engineers, and robotics experts to design and implement FFM capabilities that generalize across tasks and environments. Beyond ...

New

FieldAI

Senior Machine Learning Engineer

Seattle, WA · On-site

$180 - $215/hr

You'll collaborate closely with machine learning scientists, software engineers, and robotics experts to design and implement FFM capabilities that generalize across tasks and environments. Beyond ...

Axon

Senior Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

As a Machine Learning Engineer at Axon , you'll help build AI solutions that are transforming public safety and advancing our mission to Protect Life . You'll work alongside talented ML engineers and ...

FieldAI

Senior Machine Learning Engineer

Seattle, WA · On-site

$180K - $215K/yr

... engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. What You'll Get To Do Machine Learning ...

Axon

Senior Machine Learning Engineer

Seattle, WA · Hybrid

$139K - $183K/yr

Manager, Machine Learning Engineering * Collaborate with scientists and product managers to build proof-of-concepts (POCs) contributing to shaping the Axon of tomorrow. * Architect and develop secure ...

Axon

Senior Machine Learning Engineer

Seattle, WA · Hybrid

$139K - $183K/yr

Manager, Machine Learning Engineering * Collaborate with scientists and product managers to build proof-of-concepts (POCs) contributing to shaping the Axon of tomorrow. * Architect and develop secure ...

FieldAI

Senior Machine Learning Engineer

Seattle, WA · On-site

$180K - $215K/yr

... engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. What You'll Get To Do Machine Learning ...

FieldAI

Senior Machine Learning Engineer

Seattle, WA · On-site

$180K - $215K/yr

... engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. What You'll Get To Do Machine Learning ...

Axon

Senior Machine Learning Engineer

Seattle, WA · On-site

$150K - $241K/yr

Manager, Machine Learning Engineering * Collaborate with scientists and product managers to build proof-of-concepts (POCs) contributing to shaping the Axon of tomorrow. * Architect and develop secure ...

Amperity

Senior Machine Learning Engineer

Seattle, WA · On-site

$118K - $163K/yr

As a Senior ML Engineer, you'll lead complex, ambiguous ML projects within your team's space and ... Functional programming languages including Clojure and Python for ML pipelines. * Machine learning ...

Amperity

Senior Machine Learning Engineer

Seattle, WA

$118K - $163K/yr

As a Senior ML Engineer, you'll lead complex, ambiguous ML projects within your team's space and ... Functional programming languages including Clojure and Python for ML pipelines. * Machine learning ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Bothell, WA

Senior Machine Learning Engineer information

See Bothell, WA salary details

$67.4K

$143.4K

$207.9K

How much do senior machine learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior machine learning engineer in Bothell, WA is $143,369.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $162,600.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Bothell, WA?

The most popular types of Machine Learning Engineer jobs in Bothell, WA are:

What are popular job titles related to Senior Machine Learning Engineer jobs in Bothell, WA?

For Senior Machine Learning Engineer jobs in Bothell, WA, the most frequently searched job titles are:

What cities near Bothell, WA are hiring for Senior Machine Learning Engineer jobs?

Cities near Bothell, WA with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Bothell, WA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $141,476 per year, or $68 per hour.

Senior Machine Learning Engineer

NextGenEnergyJobs

Seattle, WA • On-site

$150 - $190/hr

Other

Medical, PTO

Posted 2 days ago

New

Job description

We're solving tough problems at the intersection of large-scale data, AI, and user experience.

Key Responsibilities

At Amperity, ML Engineers work in small, collaborative, and accountable teams. As a Senior ML Engineer, you'll lead complex, ambiguous ML projects within your team's space and own technically deep pieces of its ML architecture. You'll create agreement and simplicity on your team. Being an ambassador for your work, you'll collaborate across team lines. Partnering with Applied Scientists, Software Engineers, and Product Managers, you'll deliver production ML systems that create measurable customer impact. We are an AI-first company. We expect engineers to embrace AI assistance tools like Claude Code as a core part of their daily workflow—using them to accelerate development and improve code quality. We keep our processes lightweight, our experimentation rigorous, and our focus on delivering value to our customers through machine learning products and features.

Requirements
  • You're a ML engineer who pairs deep technical judgment with the ability to build and operate production systems end-to-end. You own technically complex pieces of your team's ML architecture. Your teammates seek you out for advice in your space. You ramp quickly in unfamiliar areas—often leaning on AI tools to do it—and you embrace AI-first practices, helping establish how your team works with tools like Claude Code. You value simplicity, mentorship, and well-reasoned decisions.
  • 5+ years building production ML systems, including hands-on experience designing ML pipelines and infrastructure.
  • Experience leading complex or ambiguous ML projects within a team as the directly responsible individual.
  • Expertise in ML deployment patterns, model serving, feature engineering, and monitoring/observability for ML systems.
  • Software engineering skills with experience in Python and familiarity with ML frameworks (e.g. XGBoost, PyTorch, PySpark).
  • Experience with cloud-native ML infrastructure, containerization, and orchestration (Kubernetes, Docker).
  • Enthusiastic about AI-first development practices, with experience using AI coding assistants to accelerate engineering workflows.
  • A habit of mentoring teammates, reviewing others' work, and elevating how your team builds and operates ML systems.

We offer all the benefits you'd expect from a great place to work: 100% employee healthcare coverage, transportation subsidies, a comfortable work environment with plenty of snacks, and other employee experience perks like events and activities, both in-person and remote. We also offer self-managed PTO and the flexibility to do your best work in the way that works for you. We provide an inclusive environment where you'll be challenged to find and unlock your full potential, surrounded by a team of world-class people driving for excellence. For more details on our benefits, please see our US Benefits & Perks Guide .

#J-18808-Ljbffr

Apply