{"id":165956,"url":"https://alion.io/job/tower-research-capital-machine-learning-engineer-3","title":"Machine Learning Engineer","company":{"id":58857,"name":"Tower Research Capital","domain":"tower-research.com","url":"https://alion.io/company/tower-research-capital","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":32,"ghost_share":0,"stale_share":0.625,"repost_share":0,"time_to_fill_p50_days":84,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hong Kong","Singapore","Shanghai, China"],"countries":["HK","SG","CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Docker","optional":false},{"name":"HPC","optional":false},{"name":"JAX","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-03-13T02:01:57Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-18T00:09:26Z","board_verified":true,"closed_at":null,"days_open":219,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":218},"description":"Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.\nTower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. \nEngineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance.\nAt Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best.\nAt Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.\nResponsibilities\nArchitecting and developing the next generation of Tower’s machine learning research platform, with an emphasis on scalability, reliability, observability, and reproducibility\nBuilding infrastructure that enables large-scale experimentation, model training, and simulation across on-premises HPC and multi-cloud environments\nPartnering closely with quantitative researchers to understand evolving research workflows and translate them into robust platform capabilities\nDesigning and optimizing distributed training pipelines for high-throughput, GPU-accelerated workloads\nImproving experiment management, model versioning, artifact tracking, and data lineage to ensure transparent and reproducible research\nDeveloping tools and frameworks that streamline feature engineering, dataset generation, and large-scale backtesting\nLeading initiatives to improve compute efficiency, resource scheduling, and workload isolation across heterogeneous environments\nEnhancing platform observability, including metrics, logging, tracing, and debugging capabilities tailored to ML workloads\nSupporting rapid iteration by implementing features and fixes on tight timelines while maintaining high engineering standards\nContributing to long-term architectural decisions that enable the platform to scale with increasing data volumes and model complexity\nQualifications\n2+ years of experience designing and building large-scale distributed systems, ideally in support of research or data-intensive workloads\nStrong programming experience in Python, with a focus on writing clean, maintainable, and high-performance code\nExperience developing and operating applications on Linux-based HPC clusters and/or cloud platforms\nSolid understanding of distributed computing concepts, parallel processing, and resource management\nExperience with GPU-based workloads and familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX)\nExperience optimizing data pipelines and handling large-scale structured and unstructured datasets\nStrong troubleshooting skills with the ability to debug complex, cross-layer system issues\nAbility to work independently in a fast-paced, research-driven environment\nStrong communication skills and experience collaborating directly with researchers or data scientists\nPreferred Attributes\nExperience building internal ML platforms or research tooling at scale\nFamiliarity with experiment tracking systems, workflow orchestration frameworks, and model lifecycle management\nExperience with containerization and orchestration technologies (e.g., Docker, Kubernetes)\nExposure to quantitative finance, simulation systems, or other latency- and performance-sensitive domains\nBenefits \nTower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world. \nAt Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive - without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win.\nOur benefits include:\nGenerous paid time off policies\nSavings plans and other financial wellness tools available in each region\nHybrid working opportunities\nFree breakfast, lunch and snacks daily \nIn-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) \nCompany-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)\nVolunteer opportunities and charitable giving \nSocial events, happy hours, treats and celebrations throughout the year\nWorkshops and continuous learning opportunities\nAt Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work - together.\nTower Research Capital is an equal opportunity employer.","description_format":"text","description_chars":5627,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Hybrid work"],"hiring_locations":[{"name":"China","iso":"CN","kind":"country"},{"name":"Hong Kong","iso":"HK","kind":"country"},{"name":"Singapore","iso":"SG","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Hedge Funds & Alternative Investments"],"lifecycle":[{"event":"open","at":"2026-03-13T02:01:57Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.285,"p_room":0.28,"age_days":218,"expected_fill_days":84,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:junior"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/tower-research-capital-machine-learning-engineer-3","json_url":"https://alion.io/job/tower-research-capital-machine-learning-engineer-3.json","meta":{"generated_at":"2026-10-18T03:12:13Z","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":5027,"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":58857},"rest":"https://alion.io/mcp/rest/get_company?id=58857"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftower-research-capital-machine-learning-engineer-3"},{"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%2Ftower-research-capital-machine-learning-engineer-3"},{"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%2Ftower-research-capital-machine-learning-engineer-3"},{"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/tower-research-capital-machine-learning-engineer-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftower-research-capital-machine-learning-engineer-3"}]}