Senior Machine Learning Engineer – Ad Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and enhance machine learning models focused on ad ranking, relevance, and optimization.

• Execute active learning methodologies, incorporating data sampling, error-driven retraining, and human-in-the-loop processes.

• Utilize LLMs for generating synthetic data, assisted labeling, weak supervision, and conducting ranking error analysis.

• Take ownership of ML experimentation, both offline and online evaluations, and production inference for ad ranking components.

• Collaborate with product, data, and platform teams to identify and convert advertiser and user experience gaps into quantifiable ML enhancements.

• Ensure model performance, reliability, latency, and data quality in production ranking systems.

• Employ AI-assisted tools for development, experimentation, debugging, and analysis.

• Develop features and test concepts using ChatGPT and Claude sandboxes.

• Harness AI for code generation and technical prototyping.

• Utilize AI assistants for creating systems architecture diagrams and validating designs.

⛳️ Requirements

• Over 8 years of experience in software engineering, specifically in building and maintaining production ML or data-driven systems.

• Strong expertise in Python for machine learning and data processing tasks.

• Proficient knowledge of Go programming language.

• Practical experience in deploying low-latency models into production ranking or decision-making systems.

• Familiarity with AWS and distributed systems.

• Experience in developing or managing scalable training pipelines and online inference services.

• Proven track record of applying LLMs to minimize model development and data labeling efforts, incorporating assisted labeling, synthetic data generation, weak supervision, or model error analysis.

• Strong engineering judgment complemented by a systems-oriented mindset.

• Experience utilizing AI-assisted development tools like GitHub Copilot, ChatGPT, or similar technologies.

• Ability to assess AI-generated outputs, troubleshoot complex issues, and ensure accuracy in production ML workflows.

• A Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience is preferred.

• Familiarity with AWS Bedrock, LangChain, vector databases, or similar orchestration technologies.

• Experience in constructing and operating LLM workflows, including prompt-driven systems and model-assisted pipelines.

• Knowledge of high-throughput or low-latency ML decision environments.

• Experience in applied machine learning for relevance, ranking, or personalization.

• Background in small, agile, cross-functional teams.

🏝️ Benefits

• Equity for full-time employees.

• 401(k) with dollar-for-dollar matching up to 4% of eligible pay.

• Comprehensive medical, dental, and vision plans, including coverage for pets.

• $10,000 per year in education reimbursement.

• Participation in Employee Resource Groups and Inclusion Council.

• Flexible Paid Time Off (PTO).

• Nine paid holidays.

• A week-long break at the end of the year.

• 14 weeks of fully paid parental leave.

• An additional six weeks of paid childbirth recovery leave for birthing parents.

• Flexible return-to-work schedule.

• One-time $2,000 Calvin Care Cash incentive for employees welcoming new family members.

• Flexible work environment with fully remote work options available for US-based roles.

• Hardware and software support for remote work.