Staff Machine Learning Engineer

Requirements

• 8+ years of professional experience in machine learning engineering, data science, or software engineering, with at least 3+ years in a Staff, Principal, or Tech Lead capacity.
• Proven track record of building and scaling ML systems specifically within growth, marketing tech, recommendation engines, or consumer engagement domains.
• Extensive experience with large-scale data processing and distributed computing.

What You'll Be Doing

• Define the long-term technical roadmap for Growth and Engagement ML systems, ensuring scalability, reliability, and measurable business impact.
• Architect and deploy production-grade ML pipelines and real-time decisioning systems.
• Evaluate and integrate cutting-edge ML techniques for various purposes.
• Design, train, and validate sophisticated models targeting user lifecycle stages.
• Build and optimize recommendation engines and semantic search systems.
• Establish robust experimentation frameworks for model validation.

Qualifications & Skills

• Expert-level Python, Scala, or Java proficiency.
• Experience with ML Frameworks like PyTorch, TensorFlow, JAX, or XGBoost.
• Knowledge of Data & MLOps Infrastructure such as Spark, Flink, Kafka, MLflow, etc.

Perks and Benefits

• Competitive salary and equity
• Comprehensive insurance (medical/dental/vision) 100% covered
• Stipend for remote/WFH set-up: laptop, headphones, etc.
• Flexible hours and supportive remote environment
• Unlimited vacation
• 401(k) retirement plan
• Wellness benefit
• Daily lunch benefit