AI Summary
EvolutionIQ is seeking a Machine Learning Engineer to build and deploy scalable machine learning models for claim time series forecasting and NLP text understanding. The ideal candidate will have 2+ years of experience in data science and machine learning, with expertise in Python, Pandas, and Jupyter. They will work closely with the team to design, train, and evaluate models, and collaborate with stakeholders to translate business problems into ML problems.
Key Highlights
Build and deploy scalable machine learning models
Collaborate with stakeholders to translate business problems into ML problems
Work closely with the team to design, train, and evaluate models
Technical Skills Required
Benefits & Perks
Base salary range $160-180K
Annual bonus plan
Company equity plan (RSUs)
Medical, dental, vision, short & long-term disability, life insurance and AD&D
401k matching
Paid time off and sick leave
100% paid parental leave
Flexible schedule for new parents returning to work
Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend
Professional development budget of $1,000/year
Job Description
About Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026!
About You: A ML Engineer 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
- You are an ML Engineer / Data Scientist with 2+ years of experience, preferably 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.
- 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
- Compensation: The base salary range is $160-180K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.
- Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.
- Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.
- Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
- Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.
- Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.
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