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Remote Machine Learning Quant Jobs in Illinois (NOW HIRING)

BMO Capital Markets

Senior Data Scientist

Chicago, IL · On-site +1

$122K - $228K/yr

Apply advanced analytics, machine learning, deep learning, and AI methodologies to build predictive ... related quantitative field-or equivalent experience. * Proven track record of shipping models to ...

Old Mission

Systematic Equity Options Trader

Chicago, IL · On-site +1

$170K - $250K/yr

Experience with statistical analysis, machine learning, and quantitative modeling techniques * Must have a strong understanding of the market microstructure and execution algorithms * Excellent ...

The Hartford

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

Drive modernization through advanced modeling techniques, machine learning, and AI to enhance ... D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science ...

Relativity

Principal Applied Scientist

Chicago, IL · On-site

... machine learning, or a closely related field * Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or equivalent professional experience

Cayuse Holdings, LLC

$28 - $30/hr

Remote Type: Corp to Corp Start Date: ASAP Pay Rate: $28-$30 per hour Contract Length: 12 months ... Machine Learning Support * Collaboration with ML Engineers and Architects: Work with Machine ...

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All JobsRemote Machine Learning Quant JobsRemote Machine Learning Quant Jobs in Illinois

Remote Machine Learning Quant information

What is the difference between Remote Machine Learning Quant vs Remote Data Scientist?

AspectRemote Machine Learning QuantRemote Data Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or financeDegrees in data science, statistics, or related fields; certifications like CAP or DASCA
Work EnvironmentFinancial firms, hedge funds, or quantitative trading companiesTech companies, research institutions, or consulting firms
Industry UsageFinance, trading, hedge fundsTechnology, healthcare, marketing, finance
Common Search/ComparisonYesNo

Remote Machine Learning Quants focus on developing quantitative models for trading and investment strategies within financial firms, often requiring finance-specific knowledge. Remote Data Scientists work across various industries, applying data analysis and machine learning to solve diverse business problems. While both roles involve machine learning, Quants are more finance-oriented, whereas Data Scientists have broader industry applications.

What are the most commonly searched types of Machine Learning Quant jobs in Illinois? The most popular types of Machine Learning Quant jobs in Illinois are:
What are popular job titles related to Remote Machine Learning Quant jobs in Illinois? For Remote Machine Learning Quant jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Quant jobs in Illinois look for? The top searched job categories for Remote Machine Learning Quant jobs in Illinois are:
What cities in Illinois are hiring for Remote Machine Learning Quant jobs? Cities in Illinois with the most Remote Machine Learning Quant job openings:
Remote Machine Learning Quant jobs near you
Staff/Senior Machine Learning Engineer, Clinical AI

Staff/Senior Machine Learning Engineer, Clinical AI

Tempus

Chicago, IL • On-site

$170K - $230K/yr

Other

Posted 7 days ago

Job description

Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
We're seeking a highly skilled and innovative Staff/Senior Machine Learning Engineer to join our Clinical AI Team. As a Staff/Senior Machine Learning Engineer, you'll play a crucial role in leveraging and deploying cutting-edge natural language processing models and LLMs specifically tailored for healthcare applications at scale. Your work will contribute to optimizing clinical workflows, improving clinical trial matching, and advancing medical research. This position offers an exciting opportunity to leverage the power of natural language processing and LLMs to revolutionize healthcare and make a significant impact on people's lives.
What You Will Do:
  • Build and operate production AI pipelines: LLM-powered extraction, batch orchestration, and inference, with a focus on reliability, cost, and latency
  • Design and maintain Airflow-based orchestration for batch clinical workflows
  • Build the observability (metrics, logging, alerting) that catches regressions before they reach downstream consumers
  • Build and maintain eval infrastructure that measures clinical model output quality continuously: regression detection, drift, gold-set management, dashboards
  • Ship platform tooling and SDKs that accelerate Machine Learning Scientists and downstream consumers
  • Partner with Machine Learning Scientists to debug bad model outputs to root cause (data, prompt, or pipeline)
  • Participate in the pod's on-call rotation
  • Collaborate with platform / infrastructure teams to leverage GCP services for performance, security, and cost-efficiency
  • Author and review design docs for cross-pod work
  • Raise the engineering bar through code review and design review
Required Qualifications:
  • Strong command of Python in production environments
  • Experience designing, building, and integrating with microservices in production
  • Deployed data orchestration workflows in production (Airflow or equivalent)
  • Worked on cloud-native services (GCP preferred but not required)
  • Built monitoring, observability, and alerting for production systems
  • Hands-on experience with at least one major ML framework - we primarily use LangGraph; PyTorch, spaCy, or equivalents are equally welcome
  • Strong written and verbal communication, including experience authoring and reviewing design docs (RFCs, PRDs, or equivalent); partners well with research scientists, PMs, and clinicians
Preferred Qualifications:
  • Operated production systems hands-on - on-call rotations, incident response, postmortems
  • Experience building eval / quality measurement systems for ML or LLM outputs
  • Hands-on production LLM application experience (prompts, agents, RAG, LLM evals, extraction pipelines)
  • Built internal platforms or SDKs that other engineers / scientists depended on
  • Experience working with clinical or biomedical data (EHR, genomics, pathology, clinical notes)
  • Contributions to relevant open-source projects

#LI-BL1
New York Pay Range - $170,000 - $230,000 USD
California Pay Range - $170,000 - $230,000 USD
Illinois Pay Range - $150,000 - $210,000 USD
Remote - USA Range - $150,000 - $210,000 USD
The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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