Staff Machine Learning (ML) Engineer

August 6

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EvolutionIQ

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Leading the artificial intelligence transformation for insurance carriers.

Healthcare • Insurance • Workers Compensation • Disability • Artificial Intelligence

51 - 200

Description

• 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. • Build ML models for production use, 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 5+ 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.

Benefits

• Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2%. • 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. • 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. • $1,000/year for each employee for professional development, as well as upskilling opportunities internally. • We are open to sponsoring candidates currently in the US who need to transfer their active H1-B visa.