Machine Learning Engineer II

AttentiveSan Francisco, CA
2d$212,000 - $280,000

About The Position

As a Machine Learning Engineer II, you will contribute to building and improving machine learning models and infrastructure that power real-time personalization across the Attentive platform. This role is ideal for an engineer who has solid production ML experience and is looking to grow their impact, technical depth, and ownership within a collaborative team environment. You will work closely with senior ML engineers, product managers, and platform teams to implement end-to-end ML use cases while continuing to develop strong ML engineering fundamentals.

Requirements

  • 3+ years of professional software engineering experience, with 2+ years working on machine learning or data-driven systems
  • Proficiency in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or xgboost
  • Experience with data analysis and processing tools such as pandas, SQL, Spark, or similar
  • Exposure to building or supporting ML pipelines for training, validation, or deployment
  • Understanding of production concerns such as monitoring, performance, and data quality
  • Strong collaboration and communication skills, with a growth-oriented mindset

Responsibilities

  • Build and maintain machine learning models and pipelines used in production
  • Contribute to data processing, feature engineering, model training, and evaluation workflows
  • Assist in deploying, monitoring, and validating ML models in production environments
  • Partner with senior engineers and product managers to implement ML-driven features
  • Write high-quality, well-tested code and help prevent regressions through testing and monitoring
  • Learn and apply best practices in ML engineering, system reliability, and scalability
  • Participate in design discussions, code reviews, and team knowledge sharing
  • Grow your technical skills in a fast-paced, high-impact environment

Benefits

  • You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

1,001-5,000 employees

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