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As a Backend Software Engineer II, you will design and develop software, collaborate on APIs, and improve system performance while sharing knowledge within the team.

Research and develop novel post-training methods such as SFT, RLHF, reward modeling, and preference optimization for text and multimodal LLMs. Analyze model behavior, improve alignment and generalization, mitigate bias, enhance robustness, and publish findings at leading AI conferences. Collaborate with engineers, researchers, and foundation model labs to establish data-driven AI development practices and provide technical and strategic guidance.

Lead DHS and DOJ account growth from opportunity identification through contract award, deployment, renewal, and expansion. Own a multimillion-dollar quota, develop proposals and white papers, structure federal deals, secure executive sponsorship and funding, and transition AI prototypes into enterprise capabilities. Co-design agentic AI solutions with technical teams, manage customer relationships, and negotiate teaming and subcontracting agreements with systems integrators and federal primes.

Conduct research on evaluating frontier large language models and AI agents. Analyze model behavior, diagnose capability, reasoning, robustness, and alignment failures, and develop benchmarks for text and multimodal systems. Apply post-training techniques such as supervised fine-tuning, RLHF, and reward modeling to connect failures with training interventions. Collaborate with AI labs, define evaluation best practices, translate findings into technical strategy, and publish research at major conferences.

Design and produce visually compelling assets across digital, social, email, web, retail, and print. Create motion graphics and edit photo/video, maintain DTC websites, optimize creative for performance metrics, collaborate with cross-functional teams, and incorporate AI tools to accelerate production while upholding brand aesthetics.

The Machine Learning Researcher at Virtu will develop and implement innovative deep learning models to solve complex market problems, collaborating with cross-functional teams and directly impacting business outcomes.

Troubleshoot and resolve advanced production software and infrastructure incidents; coordinate with engineering and product teams on escalations; develop tools, diagnostic procedures, hotfixes, and documentation; communicate updates to customers and stakeholders; maintain knowledge-base and support workflows.

Lead and manage a corporate actions and asset servicing team handling domestic and international event processing, dividends, fixed income and repo activity, reconciliations, break resolution, and client escalations. Drive process modernization with Product and Engineering to automate workflows and ensure alignment across sub-ledgers, depositories, and trading desks.

Lead the development of a cyber risk management platform, mentor junior developers, ensure scalable software solutions, and collaborate with cross-functional teams.

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

The role involves supporting senior sales members by managing client relationships and inquiries, while developing knowledge of CAIS products and the alternative investments market.

Owner of end-to-end client relationships and new business origination for RIAs; manage pipeline and CRM, drive product adoption, share client feedback cross-functionally, develop growth strategies, and travel to clients and conferences (under 50%).