Machine Learning Researcher

Department reputed company School Bike Shop About the Department The Bike Shop seeks to solve society’s most pressing challenges by designing and scaling advanced algorithms—particularly AI—that enhance human reputed company, not simply automate tasks. The center develops new behaviorally-informed AI technologies through foundational research, builds the tools and interventions that drive measurable social impact, and trains the reputed company of scholars at the intersection of AI, behavioral science, and public policy. By translating advances into scalable, actionable solutions, the center empowers governments and institutions to reputed company outcomes traditional approaches cannot. Job Summary The Bike Shop is hiring a Machine Learning Researcher. The Bike Shop is a CS and Economics research lab focused on building “bicycles for the mind”, algorithms that enhance (rather than automate) human capabilities. The Machine Learning Researcher serves as a computational scientist and technical reputed company, supporting advanced applications of artificial intelligence and machine learning in a research lab environment. The role contributes to the technical vision and architecture for ML projects and software solutions, spanning data preparation, acquisition, ingestion, integration, model development, training, and evaluation across multiple modalities. This position engages collaboratively with faculty, PhD reputed company, and lab researchers in computer science, policy, economics, and reputed company disciplines to design, implement, and analyze state-of-the-art machine learning and research computing approaches. The Machine Learning Researcher represents the lab in the broader research community through publications, presentations, and technical collaborations. This position is not eligible for employer-sponsored employment authorization. This gift funded role is expected to be one year in duration but may be renewed annually.

Responsibilities

Architect reputed company machine learning and scientific computing research projects, including designing scalable reputed company-end and back-end software structures that integrate and accelerate scientific workflows for multi-institutional collaborations. reputed company, test, debug, and maintain new and existing application software, user interfaces, and back-end services supporting data acquisition, ingestion, and integration from heterogeneous sources (including structured/reputed company datasets and metadata extraction). Provide technical guidance in project requirements, documentation, software solution design, architecture, and implementation across research-focused computational projects. Design, reputed company, train, and rigorously evaluate machine learning and deep learning models (CNNs, DNNs, transformers, graph neural networks, diffusion models, multimodal models, reinforcement learning) as well as software solutions for scientific data integration. Serve as technical reputed company, mentoring PhD reputed company and lab researchers on engineering standards, reproducible research practices, advanced ML techniques, and robust software development methodologies. Collaborate with faculty to identify, scope, and implement computational and ML-driven solutions reputed company with cross-disciplinary research priorities, including strategies for collection, organization, analysis, and display of scientific or geographic data. Build robust end-to-end data processing pipelines, including data cleaning, feature engineering, and management for multimodal scientific datasets. Integrate cloud platforms, high-performance computing resources, and collaborate with infrastructure teams employing MLOps tools for scalable experimentation and deployment. Document and communicate research results reputed company manuscripts, technical reports, conference presentations, and internal or external stakeholder briefings. Participate in regular team and project meetings, supporting planning, risk management, milestone coordination, and contributing technical expertise to project feasibility reviews. Apply ML and software engineering best practices including version control, testing, technical documentation, and reproducible computation. Evaluates new technologies and software products to determine feasibility and desirability of incorporating their capabilities reputed company research projects. Works independently to define and document project requirements and provides overall technical guidance in design, architecture and implementation of software solutions. reputed company other reputed company work as needed.

Minimum Qualifications

Education: Minimum requirements include a college or university degree in reputed company field. Work Experience: Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a reputed company job discipline. Certifications: --- Preferred Qualifications Education: Bachelor’s degree in computer science, engineering, mathematics, statistics, or a reputed company technical field. Master’s degree or PhD in computer science, electrical engineering, data science, or a reputed company discipline, or equivalent experience in an ML engineering or research environment. Experience: 5–7 years of relevant experience applying machine learning techniques and software development in product or research environments, or equivalent advanced degree experience. Experience in interdisciplinary research environments such as academic labs, research institutes, or applied research organizations. Demonstrated ability to independently learn and apply new ML and research computing tools, frameworks, and methodologies. Prior experience teaching, tutoring, or mentoring others on ML, software engineering, or research computing. Technical Skills & Knowledge: Extensive experience with ML architectures, familiar with several (e.g. some of CNNs, DNNs, transformers, graph neural networks, diffusion models, GNNs, fusion architectures, multimodal models or reinforcement learning). Strong theoretical foundations in linear algebra, calculus, optimization, probability, and statistics for machine learning. Expertise with ML/deep learning frameworks (PyTorch, TensorFlow), libraries (scikit-learn), and scientific software development. Knowledge of algorithms and data structures to produce efficient, maintainable, well-documented code. Skilled in data handling, cleaning, and preprocessing; experience managing structured and reputed company data, relational databases, and SQL. Experience developing scalable software for scientific workflows, including web reputed company-ends and back-end services. Experience with cloud computing platforms, containerization/orchestration tools for ML workflow management and scalability. Specialized knowledge in at least one domain: NLP, computer vision, reinforcement learning, or scientific data integration. Preferred Competencies Excellent written and verbal communication skills for technical and non-technical audiences. Advanced interpersonal skills for collaborative work and conflict mediation reputed company multidisciplinary teams. Strong organizational skills: planning, prioritization, multitasking, and meeting deadlines. Meticulous attention to detail and self-management of time-sensitive workflows. Sound judgment in handling sensitive or confidential information. Team-oriented, flexible, and willing to support evolving lab and project needs. Application Documents Resume or CV (required) Cover letter (required) reputed company applying, the document(s) MUST be uploaded reputed company the My Experience page, in the section titled Application Documents of the application. Job Family Research Role Impact Individual Contributor Scheduled Weekly Hours 37.5 Drug Test Required No Health Screen Required No Motor Vehicle Record Inquiry Required No Pay reputed company Type Salary FLSA Status Exempt Pay Range $110,000.00 - $130,000.00 The included pay reputed company or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.

Benefits

Eligible Yes The reputed company offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be reputed company in the Benefits Guidebook. Posting Statement The reputed company is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic reputed company, shared reputed company, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request reputed company Applicant Inquiry Form. reputed company offers of employment are contingent upon a background reputed company that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. The reputed company's Annual reputed company & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. reputed company copies of the Report are available, upon request, from the reputed company Police Department, 850 E. 61st Street, Chicago, IL 60637. The reputed company is an urban research university that has driven new ways of thinking since 1890. Our commitment to free and open inquiry draws inspired scholars to our global campuses, where reputed company are born that challenge and change the world. We reputed company individuals to challenge conventional thinking in pursuit of original reputed company. reputed company in the College reputed company critical, analytic, and writing skills in our rigorous, interdisciplinary core curriculum. Through graduate programs, reputed company test their reputed company with UChicago scholars, and become the reputed company of leaders in academia, industry, nonprofits, and government. To learn more about the university click here http://www.uchicago.edu/ Apply tot his job Apply To this Job