{"id":166059,"url":"https://alion.io/job/virtu-financial-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":58887,"name":"Virtu Financial","domain":"virtu.com","url":"https://alion.io/company/virtu-financial","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"C","score":68,"open_postings":40,"ghost_share":0.45,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":153,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Dagster","optional":true},{"name":"HPC","optional":true},{"name":"Linux","optional":true},{"name":"NCCL","optional":true},{"name":"Polars","optional":true},{"name":"Prefect","optional":true},{"name":"PyTorch","optional":true},{"name":"PyTorch C++","optional":true},{"name":"SLURM","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-03-10T19:50:22Z","employer_posted_date":"2026-05-12","last_verified_at":"2026-10-17T02:31:33Z","board_verified":true,"closed_at":null,"days_open":220,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":220},"description":"Virtu’s Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our quantitative researchers. This is a unique opportunity to work at the intersection of machine learning and systematic trading - building tools that directly determine how fast our researchers can move, and how effectively our GPU cluster translates into research output.\nIn this role, you will be responsible for the development of our ML research platform: the systems that manage data and compute, track experiments, and enable researchers to go from idea to result as efficiently as possible. You will work closely with quants and engineers alike and will play a central role in shaping how ML is done at the firm as we scale our capabilities. We mostly use Python, C++ and Java with a variety of open-source tools along with proprietary solutions.\nTHE ROLE\nDesign and build experiment tracking, job orchestration, and reproducibility infrastructure so researchers can iterate quickly, compare runs reliably, and recover from failures without losing work\nCreate tools for all stages of the simulation lifecycle including historical back-tests and production monitoring. Add new features to our simulators\nOwn visibility into GPU cluster utilization - track allocation, surface bottlenecks, and ensure our compute investment is being used effectively\nDiagnose and resolve performance issues across training pipelines: data loading throughput, storage I/O, GPU utilization, and inter-node communication in distributed training runs\nBuild and maintain data pipelines that move financial data from storage into training workflows efficiently, with strong guarantees on correctness and versioning\nDevelop feature storage and retrieval patterns that support fast, reproducible access to training data at scale\nWork directly with researchers to understand friction in their workflows, and build solutions that reduce it - from tooling improvements to infrastructure changes\nCollaborate with existing infrastructure engineers on capacity planning, cloud/on-prem tradeoffs, and tooling decisions - this is a collaborative environment, not a siloed one\nStay current with developments in ML infrastructure tooling and bring relevant ideas and tools into our stack where they create genuine value\nTHE CANDIDATE\n5+ years of experience in ML engineering, research infrastructure, or HPC environments\nStrong Python engineering skills - you write clean, maintainable, well-tested code that other engineers want to build on. Exposure to C++ in a performance-sensitive context is a plus\nExperience building or operating distributed training infrastructure, with working knowledge of how collective communication libraries (NCCL, Horovod, or similar) behave at scale\nPractical experience with experiment tracking systems and strong opinions about what good research infrastructure looks like\nComfort working across the Linux systems stack - storage, networking, job scheduling - enough to follow a problem wherever it leads\nExcellent communication skills and the ability to work closely with researchers and engineers across disciplines\nIntellectually curious and self-driven - you proactively identify problems worth solving, not just problems you've been asked to solve\nDESIRED, BUT NOT REQUIRED\nExperience with on-prem compute environments and job orchestration tools such as Slurm\nFamiliarity with GPU profiling tools (NSight Systems, PyTorch Profiler) and hands-on experience optimizing GPU memory or compute utilization\nExperience with columnar data formats and high-performance data processing tools such as Parquet, Arrow, and Polars\nFamiliarity with workflow orchestration tools (Prefect, Dagster, or similar)\nPrior experience in environments with high-stakes, time-series data at scale. Open to Quantitative Finance, Algorithmic Trading, and Other\nExperience contributing to or extending open-source ML frameworks or infrastructure tooling\nSalary Range: $200,000 - $300,000 (salary range is exclusive of bonuses, benefits or other categories of compensation)\nVirtu Financial is an equal opportunity employer, committed to a diverse and inclusive workplace, welcoming you for who you are and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.","description_format":"text","description_chars":4466,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Stock Exchanges & Market Infrastructure","Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-03-10T19:50:22Z"}],"visa":[],"liveness":{"score":33,"band":"fade","label":"Fading","p_open":1,"p_active":0.755,"p_room":0.44,"age_days":220,"expected_fill_days":153,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/virtu-financial-machine-learning-engineer","json_url":"https://alion.io/job/virtu-financial-machine-learning-engineer.json","meta":{"generated_at":"2026-10-17T06:22:25Z","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":8573,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":58887},"rest":"https://alion.io/mcp/rest/get_company?id=58887"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fvirtu-financial-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%2Fvirtu-financial-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%2Fvirtu-financial-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/virtu-financial-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fvirtu-financial-machine-learning-engineer"}]}