Compensation Overview

We are looking for a machine learning engineer to create quantitative and incisive analyses of DNA sequence attributes and NGS data. The role will include opportunities to develop analyses ranging from early-stage research experiments to production pipelines and databases. You will work closely with molecular biologists as well as the scientific computing team.

This is an opportunity to join a rapidly growing company at an early stage and to have an impact on the development of its products, markets, processes, people, and culture.

Essential Responsibilities:

• Develop algorithms and machine learning models to advance Elegen’s novel synthetic DNA production platform.
• Visualize data and evaluate predictions to inform collaborators about the impact of models on current and future products.
• Identify model architectures, feature sets, hyperparameters, and metrics for optimal model performance.
• Apply machine learning and feature engineering to identify potential improvements to Elegen’s processes and products.
• Manage datasets for model training and feature investigation.
• Collaborate with software teams to integrate machine learning models into commercial workflows.

Essential Qualifications and Experience:

• B.S. with 3+ years of experience or M.S. in machine learning or data science.
• Ability to collaborate and communicate effectively with bench science and software teams.
• Proficiency in Python.
• Knowledge of database architecture and querying (SQL).
• Familiar with software development best practices, including version control using GitHub, testing, and tracking (Jira).

Preferred Qualifications and Experience:

• Experience with ML model integration in production environments in AWS.
• Proficiency in Rust or C#/C++ (Rust is preferred).
• Experience with development of AI/ML methods for biological applications.
• Familiarity with molecular biology reactions and methods.
• Familiarity with gene synthesis methods.

Salary and Benefits:

The annual base salary compensation for this role, if based in California is: $140,000 - $180,000. Compensation may be different in other locations.  Final compensation also includes bonus, equity and benefits.   Specific offer packages are determined by multiple factors, including candidate skill, experience, expertise, and location. 

✓ Healthcare    ✓ Dental    ✓ Vision    ✓ Learning Allowance

✓ 401K    ✓ Flexible PTO   ✓ Short Term Disability    ✓ Fitness Allowance