Senior ML Engineer job in Seattle, WA
Are you an expert in Machine Learning who thrives on solving complex problems and building intelligent systems at scale? We are looking for a Senior Machine Learning Engineer to join a cutting-edge technology company based in Seattle, WA. This is a rare opportunity to work at the forefront of AI innovation, shaping the future of products that impact millions. If you have a passion for data, algorithms, and model optimization—and want to contribute to high-impact solutions—this role is designed for you.
Build Scalable AI Solutions at a Premier Tech Hub
A leading tech-driven company in Seattle, WA is seeking a Senior ML Engineer to architect, develop, and deploy advanced machine learning models. The ideal candidate brings hands-on experience in deep learning, natural language processing, or recommendation systems—paired with strong software engineering skills. If you’re ready to collaborate with world-class teams, push the boundaries of ML research, and scale production-ready AI, this is your opportunity to shine in one of the most innovative cities in the world.
Key Responsibilities of the Senior Machine Learning Engineer – Seattle, WA
Model Development & Deployment: Design, build, and deploy scalable machine learning models to solve real-world problems. Work with large datasets to develop predictive models, classification systems, and optimization algorithms used in production environments.
Research & Innovation: Stay at the forefront of machine learning research, applying the latest advancements in deep learning, natural language processing, and reinforcement learning to enhance product capabilities. Drive innovation by experimenting with new architectures and techniques.
Data Engineering & Feature Extraction: Collaborate with data engineering teams to build robust data pipelines. Perform data cleaning, feature engineering, and transformation to prepare high-quality datasets that improve model accuracy and efficiency.
Performance Optimization: Monitor, evaluate, and tune models for performance, accuracy, and scalability. Leverage tools and frameworks to implement model versioning, A/B testing, and real-time inference while ensuring system responsiveness and low latency.
Cross-Functional Collaboration: Partner with product managers, software engineers, and data scientists to align technical solutions with business goals. Contribute to product roadmaps, offer insights on feasibility, and ensure end-to-end integration of ML solutions.
Scalability & Infrastructure: Build ML systems that scale seamlessly across platforms and devices. Utilize cloud infrastructure (AWS, GCP, or Azure), containerization (Docker/Kubernetes), and MLOps best practices for continuous integration and delivery.
Code Quality & Documentation: Write clean, maintainable, and well-documented code following best practices. Conduct peer code reviews, maintain high testing standards, and contribute to shared knowledge bases and documentation.
Mentorship & Team Development: Provide technical mentorship to junior ML engineers and team members. Share expertise through code reviews, tech talks, and collaborative problem-solving sessions.
Ethics & Bias Mitigation: Ensure that all ML models are designed and evaluated with fairness, transparency, and ethical considerations. Implement practices to detect and mitigate algorithmic bias and support inclusive AI development.
Continuous Learning & Improvement: Take initiative in learning new technologies, frameworks, and industry trends. Participate in conferences, workshops, and community forums to grow both personally and professionally.
What the Client is Looking for in You
As a Senior Machine Learning Engineer, the client is seeking an innovative and technically proficient professional who thrives in solving complex problems and building high-impact, production-ready ML solutions. You should be a strategic thinker with deep expertise in machine learning, a collaborative mindset, and a passion for leveraging AI to drive meaningful product advancements.
Proven Experience in Machine Learning & AI Development
The client is looking for a seasoned engineer with hands-on experience developing and deploying machine learning models at scale. You should have a robust portfolio of applied ML work in areas such as natural language processing, recommendation systems, computer vision, or predictive analytics. Experience with model lifecycle management and performance optimization in real-world applications is highly valued.
Innovative Problem Solver with Technical Depth
You must demonstrate the ability to independently research, prototype, and implement novel ML solutions. The ideal candidate brings deep understanding of algorithms, statistical methods, and deep learning frameworks like TensorFlow, PyTorch, or Scikit-learn. The client appreciates engineers who can bridge the gap between theory and practical application to solve business-critical challenges.
Strong Engineering Fundamentals
A solid software engineering background is essential. You should be proficient in programming languages such as Python, Java, or C++, and comfortable with writing clean, scalable, and testable code. Experience with data pipeline development, distributed systems, and cloud platforms like AWS, GCP, or Azure is a must.
Collaborative & Product-Focused Mindset
The client values team players who work effectively across product, data, and engineering teams. You should possess strong communication skills and be capable of translating complex ML concepts into clear, actionable insights for cross-functional stakeholders. Prior experience contributing to or leading ML initiatives within a product-driven environment is ideal.
Track Record of Driving Measurable Impact
Beyond building models, you should be driven by outcomes. The ideal candidate has a history of delivering ML solutions that directly impact user experience, product performance, or business metrics. Demonstrated ability to experiment, measure, and iterate rapidly is highly desirable.
Commitment to Ethical AI & Continuous Learning
The client is looking for an engineer who designs models responsibly, with an emphasis on fairness, transparency, and bias mitigation. You should stay informed about ethical implications of AI and continuously seek opportunities to learn and grow through research, mentorship, and industry engagement.
FAQs About the Role – Senior Machine Learning Engineer – Seattle, WA
1. What are the key responsibilities of the Senior ML Engineer in this role?
As a Senior Machine Learning Engineer, you will be responsible for designing, building, and deploying machine learning models that address real-world challenges. You’ll collaborate with cross-functional teams, optimize models for performance and scalability, contribute to system architecture, and stay current with the latest ML research and technologies. Additionally, you’ll play a key role in mentoring junior engineers and ensuring the ethical implementation of AI solutions.
2. What qualifications and experience are required for this position?
The ideal candidate should have a strong background in machine learning, data science, or related fields with 5+ years of hands-on experience in ML model development and deployment. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn is essential. Experience with large-scale data processing, cloud platforms (AWS, GCP, Azure), and real-time production systems is highly valued. A degree in Computer Science, Engineering, or a related discipline is required; an advanced degree (MS/PhD) is preferred but not mandatory.
3. What technical skills are essential for success in this role?
The role requires expertise in ML algorithms, deep learning, model evaluation, and optimization techniques. You should also have strong programming skills, experience with data engineering pipelines, and familiarity with tools such as Docker, Kubernetes, Git, and MLFlow. The ability to apply MLOps practices and scale models in production is a plus.
4. What challenges can I expect in this role?
You’ll work on solving complex and dynamic problems with noisy or incomplete datasets. Challenges may include balancing model accuracy with latency requirements, managing evolving data sources, addressing model bias, and aligning ML outputs with business objectives. Staying ahead of rapid advancements in the field and integrating those into production environments will also be part of the role.
5. What impact is expected from the Senior ML Engineer in the organization?
You are expected to drive measurable business outcomes by delivering high-impact ML solutions that improve product features, enhance customer experiences, or streamline operations. Your work will directly contribute to innovation, competitive advantage, and the company’s growth strategy. You will also serve as a thought leader and technical mentor within the engineering team.
6. What is the company’s culture and work environment like?
The company promotes a collaborative, learning-focused, and agile work environment. It values curiosity, experimentation, and open communication. As a Senior ML Engineer, you’ll work alongside diverse, cross-functional teams that are passionate about leveraging technology to make a real-world impact. The company encourages continuous learning and supports participation in research, conferences, and professional development opportunities.
What Remuneration Can You Expect from This Job?
As a Senior Machine Learning Engineer based in Seattle, WA, you can expect a highly competitive compensation package that reflects your technical expertise, experience, and contribution to the company’s innovation and growth. The total remuneration typically includes:
1. Base Salary
The base salary for a Senior ML Engineer in Seattle varies depending on the company size, tech stack, and candidate experience. On average, you can expect an annual base salary ranging from $140,000 to $190,000, with top-tier tech companies offering up to $200,000 or more for highly experienced professionals.
2. Performance-Based Bonuses
Many companies offer annual performance bonuses tied to individual contributions, team impact, and company-wide success. These bonuses typically range from 10% to 25% of your base salary, with higher bonuses available for exceptional performance or leadership in key initiatives.
3. Equity & Stock Options
Tech companies often include equity compensation as part of the total rewards package. This may include stock options, restricted stock units (RSUs), or employee stock purchase plans (ESPPs). Equity allows you to share in the company’s success and can significantly increase your long-term earnings, especially at high-growth or publicly traded companies.
4. Signing Bonuses
To attract top talent, companies may offer signing bonuses ranging from $10,000 to $50,000, depending on experience level, competitiveness of the market, and negotiation leverage. This one-time payment helps bridge the transition and acknowledges your market value.
5. Benefits & Perks
As a Senior ML Engineer, you’ll receive a comprehensive benefits package that typically includes:
Health, dental, and vision insurance
401(k) with company match
Paid time off and flexible work schedules
Learning and development stipends or reimbursement
Remote or hybrid work options
Wellness programs and mental health support
Generous parental leave policies
Commuter or home office stipends (if remote)
6. Relocation Assistance (if applicable)
If you’re moving to Seattle for this role, companies may offer relocation packages covering moving expenses, temporary housing, and travel assistance. This can range from $5,000 to $20,000 or more, depending on the company’s policy.
Total Compensation Potential
When you combine base salary, bonuses, equity, and benefits, the total annual compensation for a Senior Machine Learning Engineer in Seattle can range from $160,000 to $300,000+, especially at top tech firms or startups with strong equity offerings.
How to Apply
If you are an experienced and innovation-driven machine learning professional looking to work on cutting-edge AI solutions, we encourage you to apply for the Senior Machine Learning Engineer position in Seattle, WA. This is a high-impact role where you’ll contribute to next-generation ML systems, collaborate with talented teams, and solve real-world problems at scale.
To apply, please submit your updated resume along with a cover letter highlighting your experience in machine learning model development, data pipeline architecture, model deployment, and MLOps practices. Be sure to showcase any notable projects, technical achievements, or leadership roles you’ve held, especially those involving end-to-end ML solutions in production environments.
This opportunity offers the chance to work with a forward-thinking company that values innovation, learning, and impact. If you’re passionate about AI, data science, and solving complex challenges through intelligent systems, apply now to join a collaborative and tech-focused team in Seattle, WA.
For more information or to explore similar opportunities in machine learning and data engineering, visit our Machine Learning Engineer Recruiters Page.
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Senior Machine Learning Engineer | ML Engineer Jobs | Artificial Intelligence Careers | Data Science | Python | Deep Learning | MLOps | AI in Production | Seattle Tech Jobs | Scalable ML Systems | Model Deployment | ML Research and Engineering | Cloud AI Solutions
