Senior Machine Learning Engineer jobs at Intercontinental Exchange - Ice in United States, New York

Responsibilities

• Develop solutions to do session level, functional, technical, failover and performance testing across the entire stack – application, hardware, firmware, OS and network.
• Review code base and make recommendations for testing scenarios; analyze changes introduced and assess the technical testing required.
• Work with cross-functional teams to build scenarios in requirements, design and coding phases.
• Perform analysis of data from QA and production to build testing tools and scenarios.
• Maintain testing and analysis tools; identify any negative changes to both QA and production environments and work with teams to resolve those concerns.
• Take the initiative to improve efficiencies across systems/projects.
• Support operations, including executing process validations, methodology and audits.
• The candidate will also be responsible for building automation in one of the languages C++, Perl or Python to help ensure the delivery of quality trading system applications and drive solutions

Knowledge and Experience

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering or related field.
• 6 or more years of experience as a Quality Engineer, working on low latency client/server applications.
• 5+ years of relevant experience including software design, development, testing and deployment.
• Must have 4+ years of Linux/Unix experience . Red Hat is preferred.
• Experience in financial domain.
• Intermediate to advanced programming/scripting experience in Python or Perl.
• Knowledge in C++ programming language.
• Excellent communication and customer service skills.
• Ability to work in a highly demanding and fast-paced environment.
• Ability to multitask and work independently on multiple projects.
• Ability to differentiate between a critical business impacting incident and a minor problem, and resolve/escalate accordingly.

Preferred Qualifications

• Knowledge of FIX protocol is a plus.
• Experience in options trading systems is a plus.
• Experience with supporting production changes, UAT testing and debugging prod issues.
• Results Driven : Drive, focus and commitment to deliver results that meet the requirements of internal customers along with the passion for quality and getting the right results in the right way. Ability to work to tight schedules/deadlines and multitask.
• Teamwork : Internal communication is always a team effort. It is important to have the ability to interact positively and confidently with others and have the resilience, determination and focus to succeed in shared objectives
• Pushing Boundaries : The ability to challenge the status quo and actively look for new approaches and inspiration to improve the department’s results and processes. The ability to approach tasks in a creative and fresh manner.
• Operational Excellence : A passion for quality and a practical focus on getting the right results in the right way. Ensuring that decisions are fully implemented. The ability to anticipate and plan for significant changes in the organization, markets and customer requirements. Understand the need for change and help others to see the benefits by overcoming barriers.

Job Summary (Primary function)

Essential Functions of the Job (Key responsibilities)

Identifies, establishes and maintains collaborative relationships with key investigators, institutions, groups and consortia strategic to the safe and effective use of company products

Provides education to the medical community on Incyte products and disease areas of focus

Provides responses to unsolicited requests for medical information, often in direct collaboration with Medical Information Services personnel

Increases company visibility and enhances professional interaction with current and future oncology leaders

Identifies clinical research opportunities that are consistent with company objectives

Represents the primary territory contact for the investigator-sponsored trial program, facilitating the process from concept submission through publication

Identifies and communicates key clinical and research insights from oncology leaders to help shape company research, and to ensure safe and appropriate use of Incyte marketed products

Maintains a high level of clinical and scientific expertise through ongoing training and self-education, including attendance at relevant conferences, scientific workshops, and review of key publications

Gathers and disseminates competitive intelligence in a compliant manner

Takes advantage of opportunities to mentor other MSL team members, and participates in cross-functional US Medical Affairs teams

Effectively executes administrative aspects of regional field activities

Substantively contributes to, and provides medical leadership for, US Medical Affairs and Development programs/projects

Ensures compliance and adherence to Incyte policies and SOPs and USMA operating guidelines

Maintains the independence and integrity of the USMA business function when engaging with internal and external stakeholders

Completes accurate and timely administrative reports, project plans, and required documentation requests

Qualifications (Minimal acceptable level of education, work experience, and competency)

An advanced degree (PhD, PharmD, or MD), with prior experience in the biotech/pharmaceutical industry, is strongly preferred

Prior MSL or relevant experience is strongly preferred

A minimum of 5 years hematology/oncology experience is strongly preferred

Clinical research experience is preferred

Knowledge of treatment guidelines, FDA regulations, CMS reimbursement coverage process, and OIG guidelines

Excellent interpersonal communication and presentation skills

Strong problem solving, decision-making, and negotiation skills

Ability to think strategically and apply knowledge and analytical skills

Ability to summarize complex scientific information and present in a clear, concise, confident, and scientifically accurate and balanced manner to a range of audiences

Ability to network and partner with external customers, including medical thought leaders, academic institutions, research consortia, and practice networks

Possesses demonstrable effective leadership skills (by example and through accomplishments), and is able to step forward to handle challenges within scope of authority

Demonstrates deep therapeutic competency; stays abreast of trends and new information in the therapeutic/translational science area, as well as the profession at large

Approximately 50-60% domestic travel is required

Disclaimer: The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Management reserves the right to change or modify such duties as required.

Learn more at:

During the process, you may be asked to respond to questions that will screen out your application if you do not meet certain objective criteria required by the job. You can learn more about this process .

You can learn more about Incyte’s data protection practices . By accessing this link you can learn about the types of personal data we collect, how we use it, whether collection and processing is optional, sources of the personal data we process, how it is shared, where it is stored or transferred to, how long we keep it, and contact information for Incyte, Incyte’s data protection officer, and your supervisory authority (if applicable).

Responsibilities

• Assess order and trading activity based upon a variety of alerts generated by surveillance systems.
• Working with colleagues, engage in fact finding to determine if matters warrant further investigation and escalation; document findings.
• Issue formal requests for information to members and analyze their responses; interact with member firms and their counsel concerning those requests.
• Assist with the preparation of memoranda that recommend dispositions of completed investigations and present those findings and recommendations to senior leadership during meetings of NYSE Regulation’s Disciplinary Action Committee.
• Assist with the creation, development, and review of new surveillances and procedures.
• Investigate regulatory issues arising from NYSE business and operations units.
• Identify and mitigate situations that may adversely impact the integrity of NYSE markets.
• Assist with the refinement of surveillance systems to ensure that alert output is meaningful and valid; recommend enhancements to those systems.
• Investigate trading activity by querying, synthesizing, and analyzing large and complex data sets.
• Other projects, as assigned.

Knowledge and Experience

• Possess strong analytical skills, an understanding of equities and/or options exchanges and trading and the ability to work with and synthesize large data files.
• Bachelor’s degree or equivalent work experience.
• Sound judgment.
• Experience relevant to securities markets or compliance (preferred).
• Excellent written and verbal communication skills.
• Ability to work on and prioritize multiple tasks with tight deadlines.
• Ability to work independently while contributing to a collegial, fast-paced, team-oriented environment.
• Solid data analytics capabilities.
• Ability to write and execute SQL queries against large data (preferred).

Responsibilities

• Capacity Planning & Performance Analysis
  • Lead initiatives to define metrics and data requirements supporting capacity and performance monitoring.
  • Develop and refine models to analyze usage trends, predict future capacity needs, and proactively manage risk.
  • Investigate and resolve production issues that impact system performance or client experience.
  • Collaborate with development and infrastructure teams to identify and implement performance and scalability improvements.
• Data Engineering & Analytics
  • Onboard and integrate new data sources, perform data transformation, and apply analytics to extract actionable insights.
  • Use statistical modeling and data science techniques to detect patterns and anomalies.
  • Build automated pipelines and reusable scripts (e.g., Python) to support analytics workflows.
• Reporting & Visualization
  • Design and maintain business intelligence dashboards to visualize real-time and historical performance data (Grafana, Tableau).
  • Produce customized reports for internal product teams, senior stakeholders and performance review board.
  • Present findings in clear, concise formats to facilitate strategic decision-making.

Knowledge and Experience

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of experience in Performance Engineering and Capacity Planning for high-availability, mission-critical systems.
• Strong expertise in data analysis, modeling, and statistical techniques.
• Proficiency in Python or other scripting languages for automation and analysis.
• Solid understanding of network protocols (TCP/IP, Multicast) and distributed systems.
• Proven experience with data visualization platforms (e.g., Grafana, Tableau, Splunk).
• Deep understanding of low-latency, high-throughput environments, preferably in financial trading or similarly demanding domains.

Preferred Knowledge and Experience

• Experience supporting electronic trading platforms or high-frequency trading systems.
• Familiarity with capacity planning tools, time series databases (snow flake), and observability platforms.
• Excellent verbal and written communication skills.
• Strong problem-solving skills and the ability to work independently under pressure.
• Demonstrated ability to lead cross-functional initiatives and mentor junior team members.

Responsibilities

• Able to do functional, technical, and failover testing across the entire application stack.
• Apply business and functional knowledge to develop end-to-end testing strategies using quality processes and methodologies to accelerate delivery and drive quality across the application lifecycle
• Review code base and make recommendations for testing scenarios; analyze changes introduced and assess the technical testing required
• Assist in determining test methodology and test data setup
• Actively participate in grooming, planning and daily standups
• Execute test scenarios/test cases during formal test periods for every release
• Diagnose problems and report bugs and enhancements to Development
• Document clear and detailed defects including steps to reproduce actual and expected results
• Build regression and acceptance test scenarios
• Perform functional and End to End tests
• Perform automation test suite with testing frameworks like Selenium, Play-write, Puppeteer
• Collaborate with cross-functional teams to ensure quality is built into the product development process. Work with cross-functional teams to build scenarios in requirements, design and coding phases
• Communicate testing progress, results, and issues to stakeholders, including senior management
• Create test scripts and testcases to cover broad range of scenarios and ensure traceability and validation against business requirements
• Take the initiative to improve efficiencies across systems/projects
• Applies testing methodologies, principles and processes to define and implement key metrics to manage and assess the testing process including test execution and defect resolution

Knowledge and Experience

• Bachelor’s degree in Computer Science, Engineering or related field.
• 5+ years of experience in software development, QA, and Automation (Java., JavaScript).
• Strong knowledge of Java programming language, Selenium, Restful APIs.
• Proficient in GitHub, TestNG, Maven, Postman, and Jenkins.
• Experience with JIRA for Agile Development, Defect Management, and Test Case Management.
• Automation expertise in frameworks, backend API, and UI.
• In-depth experience with Agile methodology and Scrum.
• 5+ years of relevant experience including software design, development, testing and deployment.
• Excellent communication and customer service skills.
• Ability to work in a highly demanding and fast-paced environment.
• Ability to multitask and work independently on multiple projects.
• Ability to differentiate between a critical business impacting incident and a minor problem, and resolve/escalate accordingly.

• Experience with Trading and financial applications is a plus.
• Knowledge of FIX or Multicast protocol is a plus.
• Experience with supporting production changes, UAT testing and debugging prod issues.
• Results Driven: Drive, focus and commitment to deliver results that meet the requirements of internal customers along with the passion for quality and getting the right results in the right way. Ability to work to tight schedules/deadlines and multitask.
• Teamwork: Internal communication is always a team effort. It is important to have the ability to interact positively and confidently with others and have the resilience, determination and focus to succeed in shared objectives
• Pushing Boundaries: The ability to challenge the status quo and actively look for new approaches and inspiration to improve the department’s results and processes. The ability to approach tasks in a creative and fresh manner.
• Operational Excellence: A passion for quality and a practical focus on getting the right results in the right way. Ensuring that decisions are fully implemented. The ability to anticipate and plan for significant changes in the organization, markets and customer requirements. Understand the need for change and help others to see the benefits by overcoming barriers.

New York Base Salary

The expected base salary for this role, ifin New York, is between $125,000.  Thebase salary range does not include Intercontinental Exchange’s incentive compensation.  While we

Job Purpose

As a Senior Machine Learning Engineer in NYSE’s Data Science, ML, and AI team, you will design, build, and deploy machine learning systems to power intelligent decision-making across the exchange. You will work on a diverse set of problems – from structured prediction and anomaly detection to retrieval-augmented generation – using both classical and modern ML approaches. You will be expected to leverage AI-assisted development tools (e.g. ChatGPT, GitHub Copilot) to accelerate iteration, improve reproducibility, and enhance team productivity.

Responsibilities

• Develop and deploy ML models for structured and unstructured data, including supervised, unsupervised, and generative tasks
• Build production-grade pipelines for model training, evaluation, and deployment, integrating with NYSE's data infrastructure
• Design and operationalize RAG pipelines using LangChain and vector databases where appropriate
• Build and optimize ML microservices using FastAPI, Docker, and Kubernetes; ensure observability, scalability, and cost-efficiency
• Track and manage ML experiments and artifacts using tools such as MLflow
• Define, monitor, and improve performance metrics for deployed ML systems (e.g. accuracy, latency, coverage, user satisfaction)
• Use AI assistants for code generation, testing, and documentation
• Collaborate with stakeholders across engineering, data, and product teams to align technical efforts with business goals
• Stay current with research and industry trends in machine learning and AI, and evaluate applicability to NYSE use cases

Knowledge and Experience

• M.S. or Ph.D. in ML, AI, or related field
• 5+ years of experience in software engineering, including 3+ years building and deploying machine learning models
• Proficiency in Python, including experience with FastAPI and asynchronous programming
• Strong understanding of ML fundamentals (e.g. model evaluation, feature engineering, regularization, bias/variance tradeoffs)
• Experience with modern ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) and model lifecycle tools (e.g. MLflow)
• Familiarity with GenAI/NLP stacks including Hugging Face, OpenAI APIs, and LangChain
• Experience with vector databases (e.g. Pinecone, FAISS) and unstructured data pipelines
• Comfort using GenAI tools (e.g. ChatGPT, GitHub Copilot) to enhance development productivity
• Strong communication skills, with the ability to explain technical concepts to diverse audiences

Preferred Knowledge and Experience

• Exposure to financial market data and its unique properties (e.g. order books, time-series behavior, microstructure)
• Peer-reviewed publications in related fields

Job Purpose

The ideal candidate will be highly skilled in creating user-centric, mobile-friendly interfaces and integrating them with backend services. You will work closely with other developers, QA engineers, and product owners in a collaborative Agile environment.

Responsibilities

• Design and develop responsive web interfaces using React, integrating with libraries like Bootstrap and Material UI as needed.
• Develop and maintain backend services using Java, Spring Boot, and RESTful APIs
• Ensure cross-browser compatibility and implement mobile-first responsive design techniques
• Write clean, maintainable, and testable code
• Translate mockups into functional components
• Participate in peer code reviews and technical discussions
• Contribute to technical documentation and support knowledge sharing
• Troubleshoot and support production issues as needed, including identifying and resolving client-side browser issues
• Profile front-end and back-end applications to identify and address performance bottleneck

Knowledge and Experience

• Bachelor‘s degree in Computer Science or related field
• 5+ years of professional experience in software development using Java 8+
• 3+ years of hands-on experience with React and front-end development
• Strong understanding of responsive design, HTML5, CSS3, and modern JavaScript/TypeScript
• Experience with front-end frameworks/libraries like Bootstrap or Material UI
• Experience with the Spring Boot Framework
• Experience with unit and integration testing (Junit, Mockito, React Testing Library, etc.)
• Experience with relational databases such as Oracle or PostgreSQL
• Experience with API design and documentation tools such as Swagger/OpenAPI
• Experience with message brokers or event-driven architectures (e.g., RabbitMQ, Kafka)
• Familiarity with Git and CI/CD tools such as Jenkins
• Understanding of OAuth 2.0 and common authentication mechanisms
• Strong problem-solving skills and attention to detail
• Proven ability to troubleshoot complex client-side browser issues
• Experience with application profiling and performance optimization techniques.

Preferred Knowledge and Experience

• Knowledge of web accessibility (WCAG) and front-end security best practices
• Familiarity with infrastructure as code tools (e.g., Terraform, Helm)
• Familiarity with containerization (e.g., Docker)
• Familiarity with ML and AI concepts. Hands-on exp is a big plus
• Understanding of microservices architecture and deployment patterns
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack)