{"id":126925,"url":"https://alion.io/job/nex-ml-researcher","title":"ML Researcher","company":{"id":1902313,"name":"Nex","domain":"nex.inc","url":"https://alion.io/company/nex-inc","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":92,"open_postings":49,"ghost_share":0,"stale_share":0.122,"repost_share":0,"time_to_fill_p50_days":79,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Hong Kong"],"countries":["HK"],"hiring_countries":["US","HK"],"hiring_countries_total":2,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"TensorFlow","optional":false},{"name":"Edge AI","optional":true},{"name":"Federated Learning","optional":true},{"name":"Few-Shot Learning","optional":true},{"name":"Self-Supervised Learning","optional":true}],"status":"live","first_seen_at":"2025-12-01T11:44:14Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-18T05:14:11Z","board_verified":true,"closed_at":null,"days_open":320,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":320},"description":"Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.\nNex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back?, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.\nImportant Notice: To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc. If you receive a suspicious email or message, please do not respond and report it immediately to us.\nLocation: Hong Kong or Remote\nType: Full Time\nThe Role\nAs a ML Researcher at Nex, you will develop new machine learning models and algorithms that push the boundaries of computational perception and interaction on Nex Playground. You will join a small, deeply technical team that combines research and engineering to solve complex problems in sensing, understanding, and multimodal interaction.\nThe ML Research role emphasizes rapid experimentation, exploring new ideas and methods to expand what our platform can sense, understand, and respond to. You will work within the ML Research group, collaborating closely with ML Engineers who build the infrastructure that accelerates your research.\nThis role is ideal for researchers who want to see their work directly impact product capabilities while maintaining a focus on cutting-edge innovation.\nThe Mindset\nYou are driven by curiosity and technical discovery. You see research as a systematic process of exploration and validation, not just theoretical work. You balance scientific rigor with practical impact, knowing that the best research solves real problems. You thrive in a team that values experimentation velocity and measurable technical improvement.\nWhat You’ll Do\nDevelop novel ML models and algorithms for computational perception and interaction\nDesign and execute rapid experiments to validate new ideas and methods\nExplore advancements in computer vision, audio processing, sensor fusion, or related domains\nCollaborate with ML Engineers to integrate research outcomes into training pipelines and production systems\nMeasure and track experimentation velocity, the number and quality of validated experiments per quarter\nContribute to research planning and help define the technical roadmap alongside the Engineering Manager and Tech Lead\nDocument research findings and communicate technical progress to the broader team\nMust Have\n2+ years of hands-on ML research experience in industry, academia, or research labs\nDemonstrable track record of designing and conducting ML experiments from hypothesis to validation\nProficiency in Python for ML research and experimentation\nDeep expertise with PyTorch or TensorFlow for model development\nExperience training and evaluating ML models on real datasets\nUnderstanding of model evaluation metrics, experimental design, and statistical validation\nFamiliarity with data preprocessing, augmentation, and management for ML workflows\nExperience presenting research findings to technical audiences\nNice To Have\nExpertise in real-time inference, model optimization, or efficient architectures\nExperience with self-supervised learning, few-shot learning, or foundation models\nBackground in multimodal learning combining vision, audio, and sensor data\nContributions to open-source ML projects or released research code\nExperience collaborating with engineers to productionize research outcomes\nFamiliarity with ML Engineering practices: training pipelines, experiment tracking, MLOps\nBackground in edge computing, on-device ML, or resource-constrained environments\nExperience with sensing technologies: cameras, microphones, IMUs, or haptic systems\nKnowledge of privacy-preserving ML, federated learning, or on-device data processing\nWe Offer\nCompetitive compensation package.\nFlexible working hours and vacation policy.\nProduct-driven culture that treasures talents and individual growth.\nFront-row seat and hands-on experience with cutting edge technologies in the evolving gaming field\nNex is located in San Jose, California, USA and Hong Kong. Learn more about us at https://www.nexplayground.com/about. \nWe encourage applications even if you don’t meet more than 50% of the requirements - we believe that experience comes in many forms!\nNex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.\nWe are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.","description_format":"text","description_chars":6067,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Hong Kong","iso":"HK","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2025-12-01T11:44:14Z"},{"event":"reopen","at":"2026-10-14T12:25:26Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.15,"p_room":0.28,"age_days":319,"expected_fill_days":79,"reasons":["conf:0","win:tail","crowd:junior"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/nex-ml-researcher","json_url":"https://alion.io/job/nex-ml-researcher.json","meta":{"generated_at":"2026-10-18T05:34:23Z","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_verified","counted_by":"address","units_charged":1,"used_today":8414,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":1902313},"rest":"https://alion.io/mcp/rest/get_company?id=1902313"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnex-ml-researcher"},{"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%2Fnex-ml-researcher"},{"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%2Fnex-ml-researcher"},{"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/nex-ml-researcher\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnex-ml-researcher"}]}