{"id":992982,"url":"https://alion.io/job/unity-technologies-machine-learning-engineer-ml-infrastructure-junior-to-staff","title":"Senior Machine Learning Engineer, ML Infrastructure","company":{"id":2743,"name":"Unity Technologies","domain":"unity.com","url":"https://alion.io/company/unity-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":93,"open_postings":14,"ghost_share":0,"stale_share":0.286,"repost_share":0,"time_to_fill_p50_days":40,"computed_at":"2026-11-06T05:58:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Shanghai, China"],"countries":["CN"],"hiring_countries":["CN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":40000,"max_usd":102000,"period":"year","method":"role_seniority_country_cell","sample_n":18},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Flink","optional":false},{"name":"Flyte","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Ray","optional":false},{"name":"Spark","optional":false},{"name":"Unity","optional":false}],"status":"live","first_seen_at":"2026-09-14T00:00:00Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-11-06T04:23:59Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"description":"Unity Vector builds an offline ML platform that powers insight, experimentation, attribution, and AI-driven decision-making across the company.\nOur systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our platform also supports large-scale model training, feature generation, and experimentation workflows that power production ML systems.\nTo support this growth, we need strong technical ownership to ensure our ML pipelines remain reliable, scalable, and architecturally sound.\nThe Role\nWe are seeking a senior ML engineer to design and evolve the large-scale offline platform. This role focuses on building reliable infrastructure for generating training datasets, orchestrating ML workflows, and enabling efficient, distributed model training at scale. You will work closely with ML engineers and platform teams to ensure our pipelines can efficiently handle growing data volumes and increasingly complex training workloads.\nYou will play a key role in shaping how model datasets are prepared as well as model training, validated, and delivered to distributed training systems, while ensuring the reliability, scalability, and performance of our offline ML platform.\nWhat you'll be doing\nDesign and operate large-scale data pipelines that generate training datasets used for machine learning training and experimentation\nDevelop infrastructure that supports distributed training workflows using technologies such as Pytorch, Ray Data, and Ray Train, etc.\nIntegrate ML pipelines with workflow orchestration systems (e.g., Flyte, Airflow, or similar) to enable reliable multi-stage training workflows\nImprove reproducibility and observability of ML pipelines through dataset validation, monitoring, and automated testing\nOptimize performance and resource utilization across distributed compute systems used for data processing and model training\nPartner closely with ML engineers to enable efficient large-scale experimentation and model iteration\nLead architectural improvements to ensure our offline ML pipelines remain scalable, reliable, and cost-efficient\nWhat we're looking for\nStrong experience building large-scale ML pipelines\nExperience working with distributed computing frameworks such as Ray, Spark, Flink and familiarity in the Ray ecosystem (Ray Data, Ray Train) for distributed data processing and model training\nExperience building infrastructure for training data generation, dataset preparation, or ML feature pipelines\nDeep experience designing and operating production-grade data pipelines\nStrong programming skills in Python and experience working with large-scale distributed workloads\nExperience with modern data infrastructure (data lakes, warehouses, orchestration systems, streaming platforms)\nStrong systems thinking, with the ability to reason about performance, scalability, reliability, and cost tradeoffs in distributed systems\nProven ability to lead technical direction and influence architectural decisions across teams without formal authority\nAdditional information\nRelocation support is not available for this position\nWork visa/immigration sponsorship is not available for this position\nBase Salary Range: CNY ¥341,000- ¥1,247,000 gross\nThis range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set.\nBenefits\nAt Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.\nPlease note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.\nWhile specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program\nLife at Unity\nUnity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D - closing the gap between ideas and reality. For more information, please visit www.unity.com.\nUnity is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, disability, gender, or any other protected status in accordance with applicable law. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.\nThis position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.\nHeadhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.\nYour privacy is important to us. Please take a moment to review ourProspect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at .","description_format":"text","description_chars":6442,"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":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Equity","Generous vacation","Retirement plans"],"hiring_locations":[{"name":"China","iso":"CN","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Gaming","PC Games","Virtual & Augmented Reality","Game Development"],"lifecycle":[{"event":"open","at":"2026-09-17T05:20:44Z"}],"visa":[],"liveness":{"score":32,"band":"fade","label":"Fading","p_open":1,"p_active":0.73,"p_room":0.44,"age_days":53,"expected_fill_days":40,"reasons":["conf:1","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-06T05:58:05Z"},"pay":null,"html_url":"https://alion.io/job/unity-technologies-machine-learning-engineer-ml-infrastructure-junior-to-staff","json_url":"https://alion.io/job/unity-technologies-machine-learning-engineer-ml-infrastructure-junior-to-staff.json","meta":{"generated_at":"2026-11-06T08:32:06Z","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":15352,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"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":2743},"rest":"https://alion.io/mcp/rest/get_company?id=2743"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Funity-technologies-machine-learning-engineer-ml-infrastructure-junior-to-staff"},{"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%2Funity-technologies-machine-learning-engineer-ml-infrastructure-junior-to-staff"},{"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%2Funity-technologies-machine-learning-engineer-ml-infrastructure-junior-to-staff"},{"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/unity-technologies-machine-learning-engineer-ml-infrastructure-junior-to-staff\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Funity-technologies-machine-learning-engineer-ml-infrastructure-junior-to-staff"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":992982}},{"tool":"search_jobs","arguments":{"company":"unity.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":992982},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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