Build scalable, client-facing web applications and services for Thematic Investing Engineering.
Compensation
In addition to the salary range, this role is eligible for bonus or incentive opportunities.
Responsibilities
Design, develop, test, and deploy modern web applications and APIs
Evaluate requirements and solve complex technical challenges
Collaborate with engineers and stakeholders in an agile environment
Requirements
Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, Management Information Systems, or a related field; or completion of a coding bootcamp program
Nice to have: database modeling concepts
Nice to have: demonstrated leadership potential
Nice to have: passion for innovation, experimentation, and emerging technologies
Nice to have: interest in learning new tools, technologies, and development practices
Seeking a researcher and engineer to build software solutions incorporating advanced algorithms, AI/ML, and data science models for Homeland Security and Defense applications.
Lead projects, complex programs, major technical workstreams, multi-program initiatives, or technical portfolios involving multidisciplinary development, analysis, prototyping, integration, testing, evaluation, and technology transition.
Apply deep technical expertise and systems-level judgment to highly complex and ambiguous problems, evaluating alternatives, trade-offs, risks, stakeholder needs, and mission implications.
Translate broad or unclear objectives into actionable technical plans and influence program direction, architectures, systems, priorities, and roadmaps across teams, Groups, or mission areas.
Collaborate with multidisciplinary teams, sponsors, mission partners, and internal leaders to align priorities, resolve dependencies, and guide decisions and deliverables.
Assess and improve technical tools, processes, methods, documentation, execution practices, and organizational capability.
The role involves developing representation learning models for Google's Discover personalized interest feed, focusing on retrieval, pre-ranking stacks, and personalization signals at a massive scale.
Write and test product or system development code.
Develop representation learning models, including embedding or encoder models trained with contrastive, supervised, or self-supervised (e.g., masked-prediction) objectives, and set or sequence encoders (attention pooling, Transformers).
Execute clustering or metric learning at scale (e.g., hierarchical/agglomerative, density-based), and assess cluster quality.
Utilize Large Language Model (LLMs) in ML systems (e.g., LLM embeddings, autoraters for evaluation) and distill LLM judgments into classifiers.
Requirements
Bachelor’s degree or equivalent practical experience
Master's degree or PhD in Computer Science or related technical field
Collaborate with traders, developers, and researchers to evaluate, validate, and improve quantitative models used in IMC’s proprietary trading strategies through statistical analysis, simulation, and empirical research.
Locations (2)
Chicago, Illinois, United States
New York, New York, United States
Compensation
$175,000—$275,000 USD
Responsibilities
Collaborate with traders, developers, and researchers to evaluate, validate, and improve quantitative models used in IMC’s proprietary trading strategies through statistical analysis, simulation, and empirical research
Design quantitative methods to gather and analyze market data, trading statistics, or new data sources and use the result of that research as the basis for new trading strategies
Build research-oriented computational tools, simulations, visualizations, and backtesting frameworks to evaluate quantitative hypotheses and measure model performance before production deployment
The Advanced Customer Engineer-Level 1 provides the second level of expertise and service to ensure all the Reltio customers get the best possible experience.
Responsibilities
Develop and implement algorithms/techniques for solving problems in a high-volume and high-availability environment.
Take complete ownership of knowledge of Reltio Platform features, components, and integrations.
Build and implement scalable and accurate monitoring and metric tools and frameworks.
Analyze customer needs and software requirements to determine configuration accuracy in solving issues and incidents.
Provide quality technical support assistance, resulting in high customer satisfaction.
Requirements
Bachelor of Science degree in computer science or equivalent
Nice to have: Object oriented programming and designs
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
Formulate trading hypotheses as mathematical, statistical, and machine-learning models; prototype algorithms and coordinate with developers to integrate validated research into trading systems
Apply statistical inference, optimization, numerical methods, and financial mathematics to diagnose model behavior, improve forecasting accuracy, and address complex research problems in proprietary trading
Requirements
Bachelor's degree in Computer Science, Financial Mathematics, Financial Engineering, Computational Mathematics, or a closely related quantitative, mathematical, or computational field
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