Machine Learning Engineer

Role overview

• check_circle Apply a growth-mindset and first principles to ambiguous customer problems to rapidly iterate on novel solutions and ways of working.
• check_circle Collaborate closely with applied scientists, engineering, design and research to understand, scope, design, prototype, implement and iterate on internal and external facing systems supporting and implementing next generation AI applications.
• check_circle Shepherd the deployment of machine learning applications into production with an eye towards reliability.
• check_circle Cultivate connections with other teams for critical dependencies and infrastructure.
• check_circle Contribute to carrying and growing our team culture of rapid innovation and creative frugality.
• check_circle Proficiency with a high-level programming language (we most commonly use Python)
• check_circle Practical knowledge of statistics (for example, causal inference, Frequentist or Bayesian inference)
• check_circle The communication skills to influence, collaborate with, and educate others (whom you may need to educate on methods and requirements in experimentation and statistics).
• check_circle Experience prototyping, developing, and implementing algorithmic solutions and new technologies with diverse analytics and data.
• check_circle Hands-on experience in deploying machine learning models into realtime production environments.
• check_circle Experience working with large scale datasets and building ETL pipelines using Spark, Kubeflow, and DataBricks.
• check_circle Strong understanding of Machine Learning and Natural Language Processing fundamentals.
• check_circle Experience with Machine Learning tools and Frameworks (e.g. PyTorch, Transformers, XGBoost, scikit-learn, etc.)
• check_circle The tenacity to embrace and tackle challenging problems.
• check_circle Practiced technical ability and passion for both owning implementation and contributing technical/thought leadership for a team of world-class scientists engineers.
• check_circle Bachelor's degree or equivalent experience in Computer Science, or a related field.

Preferred qualifications

• Experience with generative AI or large language models and related technologies (knowledge retrieval solutions, for example).
• Experience with regulated, private or sensitive data, document understanding, user interest modeling, or reinforcement learning.
• Experience collaborating with science, engineering, design, research and product partners in a team with a startup culture.
• Advanced degree (M.S. or Ph. D.) or equivalent experience in Computer Science or Engineering, Machine Learning, or related field.

About the company