Machine Learning Engineer
Build, evaluate, and deploy machine learning systems and production pipelines, while improving product capabilities through experiments and LLM integrations. The role requires at least 3 years of experience shipping ML systems and strong ownership in ambiguous, collaborative environments.
About the job
Responsibilities
- Analyze opportunities, propose ideas, train and evaluate machine learning models, run experiments, and deploy models to production.
- Contribute to and influence machine learning architecture.
- Develop pipelines and automated processes to train and evaluate models in offline and online environments.
- Integrate machine learning models into production systems and ensure scalability and reliability.
- Collaborate with product and strategy partners to propose, prioritize, and implement product features.
- Engage with developments in machine learning and artificial intelligence, transforming innovative ideas into productionized solutions.
Requirements
- At least 3 years of experience shipping machine learning systems in production.
- Experience developing streaming feature pipelines, building machine learning models, and deploying them to production.
- Strong ownership, initiative, and focus on business impact.
- Ability to work collaboratively in ambiguous environments.
- High standards when working with production systems.
Nice-to-haves
- 5+ years of experience in full-time software development roles.
- Experience shipping high-quality large language model integrations to user products.
- Experience operating in highly ambiguous environments.
- Knowledge of driving hypotheses from data.
Skills
Machine Learning, Python, Llm Integrations, Streaming Feature Pipelines, Model Training, Model Evaluation, Ml Deployment, Production Systems, Machine Learning Architecture, Offline Evaluation, Online Evaluation, Software Development
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