Data & Artificial Intelligence Research Engineer, L4

Job not on LinkedIn

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $182k - $210k / year

⏰ Full Time

🟠 Senior

🔴 Lead

📚 Research Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Citrine Informatics

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏭 Manufacturing

🍽️ Food & Beverage

💰 $12.6M Venture Round on 2022-11

Consulting • Manufacturing • Food & Beverage

Citrine Informatics is an enterprise SaaS platform company that leverages generative artificial intelligence (AI) and materials science to help customers improve materials and chemicals development. By using its AI platform, Citrine enables companies to conduct virtual experiments, optimize product development, and enhance production and sales across various industries such as specialty chemicals, batteries, metals and alloys, and more. Citrine Informatics focuses on helping businesses develop better products faster, adapt to changing regulations, and achieve greater efficiency through the use of machine learning and materials informatics.

📋 Description

• Write and maintain Python ML code • Research, prototype, and develop new materials-aware ML models and features • Collaborate closely with other engineers, frequently reviewing code and best practices • Mentor other developers • Design high-performance, scalable ML systems • Test and analyze the impact and performance of models • Work in a multifunctional team on features from concept to delivery • Improve and maintain core Python libraries enabling machine learning for materials science problems at industrial scale • Collaborate with the Product team to shape AI capabilities and support customer use cases • Improve machine learning model interpretability and develop user communication tools • Improve inverse design capabilities for complex materials synthesis parameter spaces • Collaborate with the External Research and Development team to write and publish papers • Develop new methods to quantify uncertainty in machine learning predictions

🎯 Requirements

• 8+ years of professional experience or 3+ years with MS/PhD in a quantitative discipline • Proficient in a programming language such as Python or Scala • Proven history of implementing AI solutions for customers, with quantifiable results • Experience solving scientific problems with computational techniques • Ability to communicate complex technical concepts and design choices to any audience • In depth knowledge of how core ML algorithms work and their design (random forest, neural networks, etc.) • Ability to write tested, production-quality code • Legally eligible to work in the United States • Preferred: Experience with or a degree in Materials Science • Preferred: Extensive knowledge of statistics • Preferred: Experience with LLMs • Bonus: pre-trained or fine-tuned foundation models • Preferred: SQL and relational databases • Preferred: Close integration with various AWS services (S3, RDS, SQS, etc) • Preferred: Published papers establishing domain expertise in AI/ML, NLP, or CV

🏖️ Benefits

• 401k with matching up to 4% • Medical, vision, dental insurance (we pay 100% of your premium and 75% of your dependents) • Company-paid Life and Disability insurance • FSA and HSA plans • Equity options within the company • 12 weeks of paid parental leave • Flexible PTO • 15 paid company holidays (includes your birthday!) • Free financial counseling • $600 tech allowance • Monthly $75 phone reimbursement • $5,000 annual continuing educational allowance