Machine Learning Research Engineer (Remote)

Job Description

• Develop and implement a benchmark for assessing LLMs on coding challenges • Conduct research and experiments to evaluate the performance of various LLMs • Prepare and design evaluation metrics and methodologies • Collaborate with cross-functional teams to ensure the seamless integration of the benchmark into our broader data commercialization strategy • Stay abreast of machine learning and LLMs advancements to ensure our benchmarks and models remain cutting-edge • Contribute to the development and deployment of state-of-the-art machine learning models

Qualifications

• Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Data Science, or a related field • Proven experience in machine learning, with a strong emphasis on LLMs and natural language processing • Demonstrated experience in preparing and conducting evaluations of machine learning models • Proficiency in programming languages such as Python and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) • Strong analytical and problem-solving skills • Excellent communication and teamwork abilities • Passion for staying current with emerging trends and technologies in the field

Benefits

• One-time home office set up stipend • Monthly Remote Work Enablement Stipend • Professional Development Reimbursement • Wellbeing Benefits (Headspace, Cleo, etc) • Unlimited paid time off, paid leave for new parents, and flexible work hours • Insurance for all employees (term life, personal accident, medical) along with medical insurance for their dependents • Employee stock options, flexible work hours, and time off