Senior Machine Learning (ML) Engineer

Key Skills

Aartificial intelligence, Data Analysis, Data science techniques, Effective communication skills, Google BigQuery, Google Cloud Platform (GCP), Jupyter Notebook, Keras software library, Kubernetes-K8s, Machine learning techniques, Natural Language Processing (NLP), Pandas, Python Programming, PyTorch, SPARK Programming, Terraform

Job Description

About You: An ML expert who thrives on first principles problems that no one has ever worked on before. You love innovation and making an immediate impact – and are constantly driving toward launch and delivery thanks to your high degree of ownership and control. You love working on new and challenging problems – not incremental or marginal improvements – and you're supercharged by having interesting, unsolved problems continually present themselves.

In this Role, You Will:

• Build ML models for production use
• Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies
• Suggest and implement new features to improve model performance and business logic
• Write and review production-quality PRs daily
• Translate client business problems into ML problems
• Build scalable machine learning models for claim time series forecasting and NLP text understanding
• Continue to grow and learn in the data & ML space with a focus on business problems that require making sense of large-scale structured and unstructured datasets

Requirements:

• You are an ML Engineer / Data Scientist with 3+ years of experience, especially in highly scalable production environments.
• You have deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch, tuning frameworks), data analysis & modeling, feel at home in Python/Pandas/Jupyter, and strive for scalable technical concepts and solutions.
• You’re a team player who is solutions-oriented.
• You have crisp written and verbal communication skills and can effectively correspond between technical and non-technical audiences.

Even Better if You Have the following:

• Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes
• Owned and deployed, and maintained model-serving pipelines in production
• Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and functional design patterns
• Experience with advanced statistical modeling, especially probabilistic programming
• Ambitious, collaborative, and empathetic values 
• A work style that is open to giving and receiving critical feedback and collaborating effectively across teams

Work-life, Culture & Perks: 

• Compensation: the compensation range for this role is 190-210K (with flexibility), as well as equity plan offered (stock options).
• Well-Being: Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2%.
• Home & Family: Flexible PTO, 100% paid parental leave (4 months for primary caregivers and 3 months for secondary caregivers), sick days, paid time off. For new parents returning to work we offer a flexible schedule. We also offer sleep training to help you and your family navigate life schedules with a newborn. We also have a flexible vacation policy.
• Office Life: Ability to work hybrid. Catered lunches, happy hours, and pet-friendly office space. $500 for your in home office setup and $200/year for upgrades every year after your initial setup.
• Growth & Training: $1,000/year for each employee for professional development, as well as upskilling opportunities internally
• Sponsorship: We are open to sponsoring candidates currently in the US who need to transfer their active H1-B visa.