Data & Artificial Intelligence Research Engineer, L4

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and sustain Python machine learning code.

• Investigate, prototype, and create innovative materials-aware machine learning models and features.

• Work collaboratively with fellow engineers, regularly assessing code and best practices.

• Provide mentorship to other developers.

• Architect high-performance, scalable machine learning systems.

• Evaluate and analyze the performance and impact of models.

• Engage in a multifunctional team from concept to delivery on various features.

• Enhance and uphold core Python libraries that facilitate machine learning for materials science challenges at an industrial scale.

• Partner with the Product team to define AI capabilities and support customer applications.

• Enhance the interpretability of machine learning models and create user communication tools.

• Advance inverse design capabilities for intricate materials synthesis parameter spaces.

• Collaborate with the External Research and Development team to write and publish research papers.

• Innovate new techniques to assess uncertainty in machine learning predictions.

⛳️ Requirements

• Over 8 years of professional experience or 3+ years with a Master’s or PhD in a quantitative field.

• Expertise in a programming language such as Python or Scala.

• Demonstrated success in implementing AI solutions for clients, yielding measurable results.

• Experience in addressing scientific challenges using computational methods.

• Ability to convey complex technical ideas and design decisions to diverse audiences.

• Comprehensive understanding of core machine learning algorithms and their design (e.g., random forests, neural networks).

• Proficient in writing tested, production-quality code.

• Must be legally authorized to work in the United States.

• Preferred: Background in Materials Science or relevant degree.

• Preferred: Extensive knowledge of statistical methods.

• Preferred: Familiarity with large language models (LLMs).

• Bonus: Experience with pre-trained or fine-tuned foundational models.

• Preferred: Proficiency in SQL and relational databases.

• Preferred: Experience with various AWS services (S3, RDS, SQS, etc.) in close integration.

• Preferred: Published research establishing expertise in AI/ML, NLP, or computer vision.

🏝️ Benefits

• 401k plan with matching contributions up to 4%.

• Comprehensive medical, vision, and dental insurance (we cover 100% of your premium and 75% for dependents).

• Company-sponsored life and disability insurance.

• Flexible spending account (FSA) and health savings account (HSA) plans.

• Equity options available within the company.

• 12 weeks of paid parental leave.

• Flexible paid time off (PTO).

• 15 paid company holidays, including your birthday!

• Complimentary financial counseling.

• $600 technology allowance.

• Monthly reimbursement of $75 for phone expenses.

• Annual allowance of $5,000 for continuing education.