Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.
Contributing to the development of advanced AI and machine learning models to solve complex business problems.
Analyzing large datasets to identify patterns and trends that can inform AI development.
Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.
Evaluating and creating new frameworks and defining methodologies and governance.
Working with product leaders to apply data science solutions.

Requirements

Bachelor's / Master's degree plus 3+ years of work-related experience OR PhD with 2+ years of work-related experience
Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.
Proficient working with big data technologies and tools like Databricks and AWS.
Have experience and knowledge of applying LLMs including from OpenAI, Anthropic, Mistral, etc.
Be a natural problem solver and collaborate with cross-functional teams.
Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.
Possess programming skills in Python or other relevant languages for AI.

Benefits

Comprehensive, multi-carrier program for medical, dental and vision benefits
401(k) with match and an Employee Share Purchase Plan
Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

machine learningdeep learninggradient boostingrandom forestslarge language modelstransformer-based architecturesPythondata analysisAI solutionsbig data technologies

Soft skills

problem solvingcollaborationcross-functional teamwork