{"id":592322,"url":"https://alion.io/job/hackerrank-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":2193,"name":"HackerRank","domain":"hackerrank.com","url":"https://alion.io/company/hackerrank","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"C","score":68,"open_postings":26,"ghost_share":0.538,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":39,"computed_at":"2026-10-06T05:45:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":65000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Fine-tuning","optional":false},{"name":"JAX","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Model Distillation","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RLHF","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-05-08T16:34:43Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-10-06T21:57:08Z","board_verified":true,"closed_at":null,"days_open":151,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":150},"description":"HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next.\nSoftware has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills.\nPeople at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards.\nAbout the role\nHiring is one of the most consequential decisions a company makes. 3,000+ enterprises rely on HackerRank to get it right. We are now reinventing how that works for the agentic era. The ML systems that power this platform are not auxiliary features. They are the product.\nOpen Problems\nThe agentic era is reshaping every layer of the hiring stack. These are some of the core problems you'll be working across, none of them fully solved.\nChakra: Building an autonomous AI interviewer that conducts, adapts to, and evaluates technical interviews end to end.\nIntegrity: Detecting fraud and suspicious behavior across multiple signal types. The ways candidates game assessments change frequently, and the models need to keep up.\nEvaluation: Measuring technical skill in a world where AI writes the code. The old proxies no longer hold and the new ones have not been defined yet.\nYour focus will shift across these depending on where the highest-leverage work is at any given time.\nWhat you will do\nDesign and ship production ML systems across Chakra, integrity, and evaluation domains.\nOwn the full ML lifecycle: problem framing, data strategy, experimentation, deployment, and iteration.\nBuild evaluation infrastructure and benchmarking pipelines that reliably measure model quality before and after deployment.\nDefine the architecture and production bar for different signal categories from scratch. \nMentor and support junior ML engineers, helping shape their technical thinking and raise the quality bar across the team.\nEstablish ML best practices for the team: monitoring, model feedback loops, and quality standards.\nWho you are\n5+ years building and shipping ML systems that run in production at scale.\nSystems thinking comes naturally. Model accuracy, data pipelines, serving infrastructure, and customer outcomes are one problem, not four.\nEvaluation methodology matters as much as model performance. A metric measured wrong is worse than no metric.\nProficient in Python and Deep Learning frameworks like PyTorch/JAX. \nHave implemented Research Papers to build DNN architectures from scratch.\nEven better if you have\nExperience with multimodal systems: vision, NLP, audio, or behavioral signal pipelines.\nLLM experience: fine-tuning, RLHF, Pruning, Distillation, Knowledge Graph, Recursive Language Models, Architectures - Transformers, SSM, LNN, Hybrid etc.\nBackground in adversarial ML, fraud detection, or anomaly detection.\nPublications or open-source contributions in detection, robustness, or evaluation methodology.\nStrong understanding of mathematical foundations for Deep Learning methodologies.\nYou will thrive here if\nMessy, undefined problems are more interesting to you than optimizing within clean ones.\nAmbiguity energizes you, especially when the right framing is itself part of the work.\nDirect access to leadership, fast feedback loops, and genuinely unsolved problems is what you are looking for.\nDefining what a system should be is more compelling than maintaining what already exists. \nWant to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here.\nHackerRank 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. \nLinkedin | X | Blog | Instagram | Life@HackerRank\nNotice to prospective HackerRank job applicants:\nOur Recruiters use @hackerrank.com email addresses.\nWe never ask for payment or credit check information to apply, interview, or work here.","description_format":"text","description_chars":4607,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Education","Skill Assessment","Human Resources"],"lifecycle":[{"event":"open","at":"2026-09-10T13:18:08Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.238,"p_room":0.28,"age_days":150,"expected_fill_days":39,"reasons":["conf:0","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-06T05:45:30Z"},"pay":null,"html_url":"https://alion.io/job/hackerrank-senior-machine-learning-engineer","json_url":"https://alion.io/job/hackerrank-senior-machine-learning-engineer.json","meta":{"generated_at":"2026-10-06T22:47:11Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3507,"day_limit":5000,"remaining_today":1493,"minute_limit":60,"resets_at":"2026-10-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2193},"rest":"https://alion.io/mcp/rest/get_company?id=2193"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhackerrank-senior-machine-learning-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fhackerrank-senior-machine-learning-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fhackerrank-senior-machine-learning-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/hackerrank-senior-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhackerrank-senior-machine-learning-engineer"}]}