Senior Machine Learning Engineer - Seattle,WA,Portland,OR,Boise,ID,Missoula,MT,Farmington,NM

Role: Senior Machine Learning Engineer
Location: Seattle, WA,Portland,OR,Boise, ID, Missoula, MT,Farmington, NM
Long Term Contact
Looking for W2 candidates. No C2C

Responsibilities:

• Own complex technical initiatives end-to-end, from technical design through production deployment and operational excellence
• Design and develop infrastructure supporting the full cycle of machine learning, including data pipelines and workflow orchestration, data discovery and quality tools, and feature libraries
• Drive data and ML-driven solutions for diverse engineering use cases such as recommendation systems, object detection, autogenerated tagging solutions, RAGs
• Partner with product, editorial, and engineering stakeholders to translate business requirements into robust technical solutions
• Strategically prioritize initiatives and technical workstreams to deliver the highest-impact and most time-sensitive outcomes, while proactively identifying, communicating, and mitigating risks to ensure successful execution
• Champion engineering best practices across code quality, testing, CI/CD, observability, and incident response
• Mentor and coach engineers, fostering a culture of ownership, collaboration, and continuous improvement
• Contribute to technical documentation and promote knowledge sharing across teams

Qualifications:

• Bachelor degree in Computer Science, Information Systems, Statistics, Math, or comparable field of study, and/or equivalent work experience
• 8+ years of experience building and operating ML engineering systems in production environments
• Expertise in data science, deep learning algorithms, or statistical methods to solve real-world engineering problems
• Comfortable operating at all levels of the predictive stack, including data collection, data analysis, feature engineering, batch training and low-latency online serving
• Experience designing and developing backend microservices for large-scale distributed systems using REST
• Experience with cloud infrastructure, preferably AWS (Step Functions, Lambda, Glue, SQS, SNS, Personalize)
• Familiarity with developing and deploying Spark and ML pipelines
• Hands-on experience with big data technologies such as Databricks, Kinesis, Kafka
• Proven leadership, coaching, and mentoring skills, with the ability to inspire and empower a team towards achieving business goals
• Experience with observability tools for metrics, logging, and monitoring such as Datadog
• Experience working in Agile/Scrum development environments
• Excellent communication skills and a commitment to collaboration in a fast-paced, guest-focused environment

Best Regards:

Bindu M
Phone:
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