Senior Machine Learning Engineer

Summary

Join TrueML's Data and ML Engineering team and revolutionize how we help millions of users daily. As a Senior Machine Learning Engineer, you will architect and implement our ML infrastructure, develop production-grade ML pipelines, design robust data ETL processes, and maintain high-performance systems. You'll leverage your deep ML expertise and strong data engineering fundamentals to build scalable and efficient infrastructure, deploy models, and collaborate with data scientists. The ideal candidate has extensive experience in productionizing ML models and optimizing data pipelines. TrueML offers a comprehensive benefits package including unlimited PTO, medical/dental/vision insurance, 401k, and various other perks.

Requirements

• Hold a Bachelor's degree in Computer Science, Engineering, or related technical field; Master's degree preferred
• Have 5+ years of hands-on experience in machine learning engineering, with at least 3 years in data engineering-focused roles
• Possess a deep understanding of database systems, ETL architecture, and data warehousing concepts
• Demonstrate strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Have proven experience building and optimizing large-scale data infrastructure using AWS cloud services using tools such as Terraform, CDK, CloudFormation
• Possess advanced SQL skills and experience with NoSQL databases, with demonstrated expertise in big data technologies (e.g., Redshift, Databricks)
• Have experience with Docker containerization; knowledge of orchestration platforms like Kubernetes is required
• Possess strong analytical and problem-solving skills, with proven ability to design scalable, efficient systems
• Have a track record of successful collaboration with data science teams and stakeholders

Responsibilities

• Building ML Infrastructure: As the main architect, developer, and owner of the Machine Learning infrastructure in production, design, architect and build a scalable and efficient infrastructure that serves our needs
• ML Pipeline Development: Understand each model developed by the data science team, find solutions to scale them, and deploy the required pipeline for them
• Architecting Data Platform: Work closely with other Data Engineers to find the best solutions for building scalable data platform and supporting existing pipelines
• Feature Engineering: Create and maintain offline and online feature stores and develop requires features for each model
• ML Infrastructure Development: Make a scalable, modern and efficient infrastructure for ML models
• Model Monitoring and Maintenance: Support and monitor models in production
• Data Strategy: Participate in data engineering team strategy decisions
• Collaboration: Help the data engineering team in making architectural and decision decisions that enables creating robust data and ML products, developing ETLs, and work closely with the Data Science team to scale their algorithms and deploy their models in production

Preferred Qualifications

• Have experience with Data Lakes and Snowflake
• Have experience with NoSQL databases such as DynamoDB
• Have experience with steaming technology e.g. Kafka and event based architectures
• Have knowledge of emerging technologies and trends in machine learning engineering
• Have familiarity with Domain-Driven Design principles
• Hold a certification in relevant technologies or methodologies

Benefits

• Everything you need to work remotely
• Unlimited PTO
• Medical/dental/vision insurance
• 401k through Charles Schwab
• Flexible Spending Account, Limited FSA, and Health Savings Account- with an eligible health care package
• Company-paid short-term and long-term disability plus basic life insurance
• Family-friendly maternity and paternity leave
• Employee assistance program (EAP) via Claremont. Get free short-term counseling for mental health, free + discounted legal consultations, free financial consultations, access to work/life consultants, and more!
• PerkSpot discount program. PerkSpot offers exclusive discounts to 900+ merchants nationwide, and has exclusive discounts up to 60% on hotels worldwide
• Paid time off to do volunteer work in your community
• Access to the Wellness Coach app for you and 5 family members