3 дня назад
Data & Artificial Intelligence Research Engineer, L4 (AI)
182 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data & Artificial Intelligence Research Engineer, L4 (AI): Developing materials-aware machine learning models, Python libraries, and scalable AI systems for sustainable materials and chemicals with an accent on interpretability, inverse design, and uncertainty quantification. Focus on researching new computational methods, testing model performance, mentoring engineers, and translating scientific concepts into production-quality software.
Location: Remote within the United States. Legal eligibility to work in the United States is required.
Annual salary: $182,000–$210,000 USD for full-time employees based in the United States.
Company
A product company developing a no-code SaaS platform that uses AI and chemically aware data management to accelerate the development of sustainable materials and chemicals.
What you will do
- Write, maintain, test, and improve Python-based machine learning code and core libraries.
- Research, prototype, and develop materials-aware machine learning models and product features.
- Design high-performance, scalable machine learning systems and analyze model impact and performance.
- Improve model interpretability, inverse design capabilities, and uncertainty quantification methods.
- Collaborate with Product, External Research and Development, and engineering teams from concept through delivery.
- Review code, promote engineering best practices, and mentor other developers.
Requirements
- 8+ years of professional experience, or 3+ years with an MS or PhD in a quantitative discipline.
- Proficiency in Python, Scala, or a similar programming language.
- Proven experience implementing AI solutions for customers with quantifiable results.
- Experience solving scientific problems with computational techniques and strong knowledge of core machine learning algorithms.
- Ability to write tested, production-quality code and communicate complex technical concepts to varied audiences.
- Legal eligibility to work in the United States.
Nice to have
- Materials science experience or education.
- Extensive statistics knowledge and experience with LLMs, including pre-training or fine-tuning foundation models.
- Experience with SQL, relational databases, and AWS services such as S3, RDS, and SQS.
- Published research establishing expertise in AI/ML, NLP, or computer vision.
Culture & Benefits
- Remote collaboration across North America and Europe with a focus on sustainability, inclusion, ownership, and continuous learning.
- 401(k) matching up to 4%, medical, vision, and dental insurance, plus company-paid life and disability insurance.
- FSA and HSA plans, company equity options, and 12 weeks of paid parental leave.
- Flexible PTO, 15 paid company holidays, financial counseling, and a $600 technology allowance.
- $75 monthly phone reimbursement and a $5,000 annual continuing education allowance.
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