{"id":25347,"url":"https://alion.io/job/the-voleon-group-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":6828,"name":"The Voleon Group","domain":"voleon.com","url":"https://alion.io/company/the-voleon-group","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":56,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":119,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["New York, United States","Berkeley, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":290000,"max":395000,"currency":"USD","period":"year","gross":null,"usd_annual":395000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"Feature Store","optional":true},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-05-13T16:23:47Z","employer_posted_date":"2026-05-13","last_verified_at":"2026-10-27T07:18:09Z","board_verified":true,"closed_at":null,"days_open":166,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":166},"description":"Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.\nYour colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.\nAs a Senior Machine Learning Engineer on one of Voleon's Research teams, you will partner directly with research staff to advance our quantitative trading strategies. You will translate novel research ideas into production-quality code, build and maintain the data pipelines and modeling infrastructure that underpin our strategies, and apply your own strong mathematical intuition to solve open-ended technical challenges.\nThis role lives at the boundary of research and engineering. You will be expected to understand the statistical and mathematical concepts your research partners work with, contribute meaningfully to technical discussions about model design and evaluation, and ensure that the resulting systems are performant, reliable, and maintainable. You will work at the intersection of Computer Science, Mathematics, and Statistics - building high-performance tools that enable world-class research while maintaining a high engineering standard.\nResponsibilities\nPartner with PhD researchers to design, implement, and productize machine learning models that drive quantitative trading strategies\n\nDevelop and maintain complex data pipelines, including data ingestion, feature engineering, validation, and quality monitoring\n\nTranslate research prototypes and novel ideas into performant, well-tested, production-ready code\n\nBuild extensible tools and frameworks that accelerate the model development and experimentation lifecycle\n\nSupervise, understand, and remediate subtle data quality issues across both research and production environments\n\nProactively lead projects from requirements through delivery, making autonomous decisions about scope, dependencies, and trade-offs, with an emphasis on long-term maintainability\n\nCoordinate and contribute to deployment efforts while guiding junior engineers and researchers; align with research and engineering stakeholders on ownership, execution, and prioritization\n\nFoster engineering consistency, standards, and best practices within Research\n\nRequirements\nBachelor's degree (or higher) in Computer Science, Applied Mathematics, Statistics, or a related quantitative field\n\n5+ years of professional software engineering experience, with strong CS fundamentals (data structures, algorithms, systems design)\n\nDemonstrated mathematical maturity - comfort with the concepts and notation used in statistics, linear algebra, optimization, and probability\n\nDeep proficiency in Python; experience with R and/or C/C++ is a strong plus\n\nExtensive experience with numerical and data science libraries (e.g., NumPy, Pandas, SciPy, scikit-learn, PyTorch, TensorFlow, or similar)\n\nProven experience building or maintaining machine learning systems in a distributed computing environment\n\nProficiency developing in a Linux environment with attention to performance, correctness, and reproducibility\n\nExceptional attention to detail, particularly when working with imperfect or heterogeneous data\n\nStrong verbal and written communication skills, and the ability to collaborate effectively with researchers whose primary expertise is not software engineering\n\nPreferred Qualifications\nExperience with experiment management, model evaluation pipelines, or ML workflow orchestration\n\nFamiliarity with modern ML/AI infrastructure patterns (model serving, feature stores, distributed training)\n\nExperience with performance profiling and optimization of numerical or modeling code\n\nPrior exposure to financial data, time-series analysis, or quantitative research environments\n\n“Friends of Voleon” Candidate Referral Program\nIf you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program.\nEqual Opportunity Employer\nThe Voleon Group is an Equal Opportunity employer. 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