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Karkidi

Sr. Machine Learning Research Engineer (Remote)

Karkidi, Mountain View, California, us, 94039


You will be working on: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.We are looking for: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.Nice to have:Experience in benchmarking and performance evaluation of machine learning models.Familiarity with coding challenges and competitive programming.Published research in relevant fields.About HackerRank:HackerRank is a Y Combinator alumnus backed by tier-one Silicon Valley VCs with total funding of over $100 million. The HackerRank Developer Skills Platform is the standard for assessing developer skills for 2,500+ companies across industries and 23M+ developers worldwide. Companies like LinkedIn, Stripe, and Peloton rely on HackerRank to objectively evaluate skills against millions of developers at every hiring process, allowing teams to hire the best and reduce engineering time. Developers rely on HackerRank to turn their skills into great jobs. We’re data-driven givers who take full ownership of our work and love delighting our customers!HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.Thanks for your interest in HackerRank!

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