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Sr./Staff ML Scientist (Remote) ID -2687

Job Description

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. At HackerRank, we are passionate about our mission to "Change the world to value skills over pedigree." This position is full-time and remote within India.

As a Sr. ML Scientist at HackerRank, you will be working closely with Engineering & Product teams to design, implement, and deliver machine learning and AI solutions. You will be a key part of developing HackerRank's Machine Learning practice across our products, with a heavy emphasis on technical & thought leadership for machine learning and AI solutions. 

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Remote Data Entry, $40/hr, Part-Time, No Degree Required
Phone Support, $50/hr, Weekend, Remote, No Experience
Virtual Assistant, $42/hr, Evening, Remote, No Degree
Remote Customer Support, $45/hr, No Experience, Part-Time
Data Entry, $50/hr, Night Job, No Degree, Remote
Remote Moderator, $40/hr, College Student Friendly, Part-Time
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Remote Phone Job, $45/hr, Part-Time, No Degree Required
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Phone Support, Remote, $42/hr, Evening/Night Shift
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Live Chat Support, $50/hr, Remote, No Experience Required

You will be working on:


- Design and Develop Advanced ML Solutions: Conceive research ideas, build end-to-end models, and refine algorithms for complex business challenges.
- Technical Leadership and Mentorship: Guide teams on best practices, review and optimize machine learning assets such as datasets, models, and code, and foster continuous learning.
- Cross-functional collaboration: Work with engineers, product managers, and stakeholders to align ML initiatives with broader organizational goals and ensure seamless deployment.
- Strategic Planning and Thought Leadership: Shape the ML roadmap, ensure model fairness and compliance, and represent the organization at industry events.
We are looking for:
7+ years of experience working on data science and machine learning applications, including 5+ years on model development
A strong background in math & statistics for machine learning applications
Prior experience in technical directing and mentoring junior team members to deliver large efforts
Solid ability to understand business priorities and set a vision to realize them
Being up to date on recent advances in machine learning, and identifying relevant papers and opportunities
Ability to design and implement a modern machine learning framework and codebase for the company to operate in.
Nice to have: 
- Experience with Deep Learning and a framework such as Pytorch or Tensorflow
- Expertise in natural language processing techniques
- Expertise in training and fine-tuning LLMs
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, etc)
Flexible paid time off and paid leave for new parents
Insurance for all employees (term life, personal accident, medical) along with medical insurance for their dependents
Employee stock options
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 26.5M 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.

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