{"id":668656,"url":"https://alion.io/job/imc-trading-machine-learning-researcher","title":"Deep Learning Researcher","company":{"id":54502,"name":"IMC Trading","domain":"imc.com","url":"https://alion.io/company/imc-trading","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":47,"ghost_share":0,"stale_share":0.468,"repost_share":0,"time_to_fill_p50_days":106,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","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":250000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Pre-training","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Self-Supervised Learning","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2025-11-28T17:44:48Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-17T18:10:09Z","board_verified":true,"closed_at":null,"days_open":323,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":322},"description":"IMC is seeking a Deep Learning Researcher with a proven track record of developing and applying state-of-the-art deep learning techniques to solve complex real-world problems. This individual will join a team that is leading the advancement of deep learning research and infrastructure, including large-scale pre-training, predictive modeling and representation learning, to increasingly shape our trading.\nThe ideal candidate has deep expertise in modern AI and machine learning research and a passion for applying cutting-edge techniques to new domains. Prior financial industry experience is not required. We are looking for someone who can bring fresh perspectives, rigorous scientific thinking, and strong technical leadership to help build a world-class deep learning capability at IMC.\nThis is an opportunity to work at the intersection of AI research and quantitative trading, leading efforts spanning modern neural network architectures, self-supervised learning, foundation models, generative AI, reinforcement learning, and custom deep learning approaches designed for financial markets.\nYour Core Responsibilities\nBuild and improve advanced deep learning models to enhance trading performance across multiple asset classes\nInnovate in areas such as representation learning, transformers, foundation models, generative AI, reinforcement learning, and other emerging deep learning techniques\nResearch, prototype, and evaluate novel neural network architectures and training methodologies applicable to market state prediction, signal generation, execution optimization, and portfolio construction\nSupport large-scale data curation, feature representation, self-supervised learning, and multimodal learning from structured and unstructured datasets\nPartner with quantitative traders, researchers, and engineers to translate market insights and business objectives into scalable deep learning solutions\nStay at the forefront of academic and industry developments in deep learning and share relevant research with the team\nYour Skills and Experience\nPhD or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Engineering, or a related quantitative field\n3+ years of experience conducting deep learning research and developing large-scale machine learning systems\nDemonstrated expertise in modern deep learning architectures, including transformers, sequence models, representation learning, self-supervised learning, and/or generative models\nStrong understanding of the theoretical foundations underlying deep learning, optimization, statistical learning, and neural network training dynamics\nExperience training and deploying large-scale models in distributed computing environments; experience with large-scale pretraining is highly valued\nStrong programming skills in Python and hands-on experience with modern deep learning frameworks such as PyTorch, JAX, TensorFlow, and associated ecosystem tools\nExperience building scalable ML infrastructure, experimentation platforms, and model deployment systems\nStrong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences\nDemonstrated ability to thrive in a highly collaborative, research-driven environment\nThe Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.\nSalary Range\n$250,000—$300,000 USD\nAbout Us\nIMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. 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