Remote Sr. Machine Learning Research Engineer (Remote)
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Description:
HackerRank is seeking a Sr. Machine Learning Research Engineer to work remotely within the United States.
The role involves developing and implementing a benchmark for assessing large language models (LLMs) on coding challenges.
Responsibilities include conducting research and experiments to evaluate the performance of various LLMs and preparing evaluation metrics and methodologies.
The engineer will collaborate with cross-functional teams to integrate the benchmark into the broader data commercialization strategy.
Staying updated on advancements in machine learning and LLMs is essential to ensure benchmarks and models remain cutting-edge.
The position also involves contributing to the development and deployment of state-of-the-art machine learning models.
Requirements:
Candidates must have an advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Data Science, or a related field.
Proven experience in machine learning, particularly with LLMs and natural language processing, is required.
Demonstrated experience in preparing and conducting evaluations of machine learning models is necessary.
Proficiency in programming languages such as Python and familiarity with machine learning frameworks like TensorFlow and PyTorch is essential.
Strong analytical and problem-solving skills are required.
Excellent communication and teamwork abilities are necessary for this role.
A passion for staying current with emerging trends and technologies in the field is expected.
Benefits:
The position offers a one-time home office setup stipend and a monthly remote work enablement stipend.
Professional development reimbursement is provided to support continuous learning.
Wellbeing benefits, including access to services like Headspace, are included.
Employees enjoy flexible paid time off, paid leave for new parents, and flexible work hours.
Comprehensive insurance coverage is provided for all employees, including term life, personal accident, and medical insurance for dependents.
Employee stock options are part of the compensation package.
The total rewards package includes salary, quarterly performance incentives, equity, medical, dental, vision, life insurance, travel insurance, and a flexible remote-first work culture.