Match score not available

Machine Learning Research Engineer (Remote)

77% Flex
EXTRA HOLIDAYS
Remote: 
Full Remote
Contract: 
Salary: 
160 - 180K yearly
Work from: 

Offer summary

Qualifications:

Master's or Ph.D. in Computer Science or related field, Experience in machine learning, LLMs, and NLP, Proficiency in Python and ML frameworks.

Key responsabilities:

  • Develop benchmark for LLM assessment
  • Conduct research on model performance
  • Collaborate with cross-functional teams
  • Stay updated on ML advancements
  • Contribute to deployment of ML models
HackerRank logo
HackerRank Computer Software / SaaS Scaleup https://www.hackerrank.com/
201 - 500 Employees
HQ: Mountain View
See more HackerRank offers

Job description

Logo Jobgether

Your missions

At HackerRank, we help over 2,500 of the most prestigious logos across industries find, hire, and upskill amazing developer talent using our SaaS-based Developer Skills Platform. We pioneered and continue to lead the developer skills market with the ethos of “Skills over Pedigree.” Everyone at HackerRank is passionate about the mission, and we are looking to add smiling faces to help us “Accelerate the World’s Innovation” by making skills matter more than pedigree. This position is Full-Time and Remote within the US.

HackerRank is at the forefront of innovation in machine learning and data science. We are launching an ambitious data commercialization program to create a comprehensive benchmark to assess the performance of large language models (LLMs) on coding challenges. We are seeking a highly skilled and motivated research engineer to join our team and drive this initiative forward.

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.
Benefits & Perks:

We have a full package of competitive benefits and perks, which include the following:

  • 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
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.

We offer a comprehensive total rewards package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. 

Total compensation and benefits consist of salary, quarterly performance incentives, equity (stock options), medical, dental, vision, life insurance, travel insurance, monthly work-from-home stipend, learning and development reimbursements, flexible remote-first work culture, 401(K), flexible time off, generous parental leave and more. Under our flexible paid time off policy, you’ll decide how much time you need based on your circumstances.

Current base salary range: ($160,000 - $180,000).  The exact salary may vary based on skills, experience, location, market ranges, and other compensation offered. The salary range does not include other compensation components, commission (for sales-related roles), bonuses, or benefits that you may be eligible for. Salary may be adjusted based on business needs.

#LI-Remote

Required profile

Experience

Industry :
Computer Software / SaaS
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • Passion for Digital Technology
  • Strong Communication
  • Teamwork
  • Analytical Thinking
  • Problem Solving

Go Premium: Access the World's Largest Selection of Remote Jobs!

  • Largest Inventory: Dive into the world's largest remote job inventory. More than half of these opportunities can't be found on standard platforms.
  • Personalized Matches: Our AI-driven algorithms ensure you find job listings perfectly matched to your skills and preferences.
  • Application fast-lane: Discover positions where you rank in the TOP 5% of applicants, and get personally introduced to recruiters with Jobgether.
  • Try out our Premium Benefits with a 7-Day FREE TRIAL.
    No obligations. Cancel anytime.
Upgrade to Premium

Find more Machine Learning Engineer jobs