machine learning engineer Jobs in Chicago

machine learning engineer

artificial intelligence engineer Jobs in Chicago

artificial intelligence engineer

accounting intern

ai enablement intern

ai engineering intern - summer 2026 Jobs in Chicago

ai engineering intern - summer 2026

machine learning intern

Uber

<div><b>About the Role</b>
<br>
<br>
Uber Freight Marketplace is building the next generation of logistics technology by leveraging Uber's proven marketplace playbook to freight. As part of a small, high-impact team, you'll help bring expertise from Uber's mobility and delivery marketplaces into a rapidly evolving industry, developing pricing, matching, recommendation, and optimization systems that will disrupt the freight industry ($1T TAM). Uber Freight is at a very early stage, with just 0.4% of the pie now, and it's a rare opportunity to solve challenging marketplace problems with AI/ML and marketplace optimization while shaping how the freight industry transforms.
<br>
<br>
We are looking for a highly motivated Machine Learning Engineer to join Uber's Marketplace team to modernize the Uber Freight marketplace team. It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this role has a huge growing opportunity.
<br>
<br>
<b>What You'll Do</b>
<br>
<br>
This role requires end to end ownership for the ML models in UF marketplace (cost prediction, booking probability, demand elasticity, etc.). While your job is mostly about model development, you will work with backend engineers together to put them in production and make sure they work as expected.
<br>
<br>
<b>Basic Qualifications</b>
<ul><li>6+ years of experience developing ML models to solve business problem.
</li><li>Bachelor's degree in Computer Science, Computer Engineering, or related fields.
</li><li>Familiar with modern AI/ML frameworks (e.g., PyTorch).
</li></ul><b>Preferred Qualifications</b>
<ul><li>Product experience will be a big plus for this role. Adaptive development of ML models to the business context is critical.
</li><li>Previous experience with state-of-the-art marketplace technology is preferred.
</li>Experience with causal inference and constrained optimization<br>
<li>
</li></ul><br>
<br>
For Chicago, IL-based roles: The base salary range for this role is USD $209,000 per year - USD $232,000 per year.<br>
<br>
For New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.<br>
<br>
For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.<br>
<br>
For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.<br>
<br>
For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.<br>
<br>
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.<br>
<br>
<b>Ready to Ride?</b><br>
<br>
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.<br>
<br>
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
<br>
<br>
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.<br>
<br>
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</div>

Staff Machine Learning Engineer

J2B GLOBAL LLC

<div><div><div><div><h3 class="jobSectionHeader"><b>Principal ML Engineer</b></h3>
</div><div>C2CContract
</div></div><div>Chicago, IL
</div><div>Visa: US CitizenH1BTNGreen CardGC-EADH4-EADEAD
</div><div>Role: Principal ML Engineer Location: Dallas, TX - 5 days onsite from day 1 Secondary locations: Chicago, IL and New York City, NY Job Description: Responsibilities: Contribute to Mail Intelligence Mission: Support the development of AI/ML capabilities that enhance user personalization and insights within Mail and the broader client's ecosystem. Innovate and Personalize: Assist in building scalable AI/ML solutions that identify user interests and habits, contributing to personalized user experiences. Technical Leadership: Guide and mentor a team of passionate engineers, fostering a culture of innovation and excellence. Your leadership will ensure the delivery of high-quality, user-centric solutions. Collaborative Development: Work with cross-functional teams to integrate new AI/ML features and improve existing platforms, ensuring smooth user interactions. Data-Driven Insights: Apply machine learning techniques and big data processing to derive insights from mail data, enhancing content and user knowledge. Tool and Workflow Development: Develop AI/ML tools and workflows to manage and utilize large datasets, supporting AI-based infrastructure and analytics. A/B Testing and Analysis: Run regular A/B tests, gather data, and draw conclusions on the impact of your models. Commitment to Excellence: Maintain high engineering standards, focusing on code quality and architectural skills, while delivering optimal user experiences. Feedback and Recovery: Implement feedback loops and recovery paths to handle AI failures gracefully, ensuring user satisfaction. Balance Tradeoffs: Manage cost, quality, and speed tradeoffs in AI/ML solutions to optimize performance. A lot about YOU Educational Background: You have a strong foundation in computer science, data science, or a related field, with a focus on machine learning and AI technologies. Technical Skills: Proficient in programming languages such as Python or Java and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Skilled with AI tools such as Cursor, Copilot, and Claude. AI Skills: Advanced AI skills, including experience with AI development tools and frameworks. Problem-Solving Ability: You possess strong analytical skills and a knack for solving complex problems using data-driven approaches. Collaboration: You are a team player who can work effectively with cross-functional teams, including tech leads and architects, to deliver high-quality solutions. Passion for Innovation: You are enthusiastic about leveraging AI/ML to drive innovation and enhance user experiences across Mail and the broader ecosystem. Attention to Detail: You maintain high standards for code quality and are committed to delivering robust, scalable solutions. Continuous Learning: You are eager to stay updated with the latest advancements in AI/ML and apply them to improve products and services. Qualifications Educational Requirement: Bachelor's degree in Computer Science, Data Science, or a related field; a Master's degree is a plus. Experience: 8+ years of experience in machine learning, data analysis, or a related field. Technical Proficiency: Expertise in Python, Java, or C++ and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Skilled with AI tools such as Cursor, Copilot, and Claude. Data and Infrastructure: Proficient in big data technologies (Hadoop, Spark) and modern ML infrastructure (Airflow, MLFlow, feature stores, vector databases, CI/CD for ML). Generative AI and Optimization: Hands-on experience with LLMs, generative AI (prompt engineering, Agent frameworks, fine-tuning, RAG, LLMOps), and GPU optimizations. Observability and Feedback: Familiar with observability, telemetry, and user feedback loops for product improvement. Algorithm Knowledge: Solid understanding of machine learning algorithms, natural language processing, and data mining techniques. Problem-Solving Skills: Demonstrated ability to solve complex problems and implement efficient, scalable solutions. Collaboration Skills: Ability to work effectively in a team environment and collaborate with tech leads, architects, and cross-functional teams. Communication Skills: Strong verbal and written communication skills to articulate complex technical concepts to non-technical stakeholders. Continuous Improvement: Eagerness to learn and adapt to new technologies and methodologies in the AI/ML domain. Preferred Qualifications Mail Experience: Prior experience working with email systems or related technologies is a plus. Personal Attributes: Self-driven and detail-oriented, with a passion for tackling challenges. Strong teamwork spirit, excellent communication skills, and the ability to multitask and manage expectations effectively. Cloud Experience: Experience with public cloud platforms, especially Google Cloud Platform (GCP), is preferred.</div></div><p></p><div><p> </p><p>Refer</p></div></div>

Principal ML Engineer

Caterpillar

<div><p><b>Career Area:</b></p>
Technology, Digital and Data<p></p><p><b>
Job Description:</b></p><p></p><p><b>
Your Work Shapes the World at Caterpillar Inc.
</b></p><p></p><p>When you join Caterpillar, you're joining a global team who cares not just about the work we do &ndash; but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here &ndash; we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.</p><p></p><p><i>
Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers.</i> <i>With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world</i></p><p><br>
As a Data Scientist in the aftermarket analytics team, you will drive parts and services growth by building data-driven solutions that enhance digital products and customer experiences. You will apply analytics and machine learning to solve complex problems, with a focus on personalization and recommendations. You will partner with cross-functional teams, owning components of projects end-to-end while contributing to high-impact solutions that deliver measurable business value.</p><p></p><p><b>
What You Will Do:</b></p><ul><li>
Apply machine learning, statistical modeling, causal inference, and emerging GenAI techniques to understand customer behavior and deliver recommendation and personalization solutions that drive measurable business value</li><li>
Develop and deploy data-driven solutions that optimize digital experiences, including recommendation systems and AI-powered assistants (e.g., conversational insights, targeting, and sales enablement use cases)</li><li>
Partner with product, engineering, and business stakeholders to translate business problems into scalable analytical and AI-driven solutions</li><li>
Own components of analytics and data science projects end-to-end, from exploration and modeling to delivering production-ready insights or features</li><li>
Demonstrate strong initiative to research and apply new techniques, including GenAI approaches, to improve customer impact</li><li>
Communicate findings clearly to technical and non-technical audiences, influencing decisions through data-driven storytelling</li></ul><p></p><p><b>
What you will have:
</b></p><ul><li><b>Analytical Thinking:</b> Extensive ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems; Knowledge of techniques and tools that promote effective analysis.</li><li><b>
Data Cleaning, Analysis, and Preparation:</b> Working knowledge in conducting exploratory data analysis to extract meaningful patterns, trends, and insights from complex datasets, including data mining and cleaning initiatives and writing, debugging and implementing queries involving multiple tables or databases.</li><li><b>
Machine Learning:</b> Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Experience completing specific tasks and initiatives utilizing machine learning technologies, such as classification, regression, or optimization and specific tools and techniques to process descriptive and inferential statistics.</li><li><b>
Programming Languages:</b> Experience and fluency with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)</li><li><b>
Collaboration &amp; Effective Communication:</b> Experience working closely with cross-functional teams, providing data-driven insights and collaborating on projects to solve business challenges.</li></ul><p></p><p><b>
Consideration for top candidates:</b></p><ul><li>
Bachelors, Masters, or PhD degree in statistics, economics, mathematics, data science or similar degree</li><li>
Experience utilizing quantitative analysis, or a Master&rsquo;s degree or PhD in related field</li><li>
Experience in eCommerce and/or digital products domains</li><li>
Experience with advanced data analysis and statistical methods including regression and hypothesis testing</li><li><div>
Practical applications of machine learning techniques, including Collaborative Filtering, Clustering, and emerging GenAI techniques</div></li><li>
Strong technical and problem-solving skills and evidence of continuous learning in the analytics field</li><li>
Experience leading analytics projects connecting data from various business domains and providing forecasts and insights to run the business profitably</li><li>
Experience with cloud technologies (AWS, Azure, Snowflake, Google Cloud, etc.)</li></ul><p></p><p><b>
Additional Details:</b></p><ul><li>
This position requires the candidate to be in Chicago, IL</li><li>
Relocation assistance is NOT available for this position</li><li>
Visa sponsorship is NOT available with this position.</li></ul><p></p><p><b>
Summary Pay Range:</b></p><p></p>
$97,530.00 - $158,480.00<p></p><p>
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
</p><p></p><p><b>Benefits:</b></p><p>
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.</p><ul><li><p>
Medical, dental, and vision benefits*</p></li><li><p>
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*</p></li><li><p>
401(k) savings plans*</p></li><li><p>
Health Savings Account (HSA)*</p></li><li><p>
Flexible Spending Accounts (FSAs)*</p></li><li><p>
Health Lifestyle Programs*</p></li><li><p>
Employee Assistance Program*</p></li><li><p>
Voluntary Benefits and Employee Discounts*</p></li><li><p>
Career Development*</p></li><li><p>
Incentive bonus*</p></li><li><p>
Disability benefits</p></li><li><p>
Life Insurance</p></li><li><p>
Parental leave</p></li><li><p>
Adoption benefits</p></li><li><p>
Tuition Reimbursement</p></li></ul><p>
</p><ul><li>These benefits also apply to part-time employees</li></ul><p></p>
Visa Sponsorship is not available for this position.<p></p><p><b>
Posting Dates:</b></p><p></p><p>
Any offer of employment is conditioned upon the successful completion of a drug screen.</p><p></p><p>
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.</p><p></p><p>
Not ready to apply? Join our Talent Community.</p></div>

Data Scientist, eCommerce Analytics

West Monroe

<div><div><p><b>Are you ready to make an impact?</b></p></div><br>
<p></p>
<p>
West Monroe is seeking a <b>Senior Data Engineer</b> to join our Data &amp; AI practice. In this role, you will design, build, and optimize modern cloud data platforms that enable advanced analytics, AI, and business intelligence. Working with technologies such as Databricks, Snowflake, and Microsoft Fabric, you will help clients modernize their data ecosystems, develop scalable data pipelines, and establish trusted data foundations that power reporting, machine learning, and generative AI solutions. As a technical leader on project teams, you will mentor consultants, contribute to solution design, and deliver high-quality outcomes for our clients.</p>
<h2 class="jobSectionHeader"><b>
What You Will Do</b></h2>
<ul><li>Design, develop, and optimize cloud-native data solutions using Databricks, Snowflake, Microsoft Fabric, and related data technologies.</li>
<li>Architect and deliver modern cloud data solutions using AWS, Azure, and GCP, integrating cloud-native technologies with Databricks, Snowflake, and Microsoft Fabric to support enterprise analytics, AI, and business intelligence initiatives.</li>
<li>Build scalable batch and streaming data pipelines that support enterprise analytics, operational reporting, and AI-enabled applications.</li>
<li>Design and implement modern lakehouse and data warehouse architectures that improve data accessibility, governance, and performance.</li>
<li>Collaborate with client stakeholders to gather requirements, translate business needs into technical solutions, and deliver high-quality data engineering outcomes.</li>
<li>Develop robust ELT/ETL processes, data models, orchestration workflows, and data quality frameworks.</li>
<li>Enable AI and advanced analytics by creating trusted, scalable data foundations that support machine learning, generative AI, semantic models, and intelligent automation initiatives.</li>
<li>Apply data engineering best practices around security, governance, monitoring, performance optimization, and DevOps.</li>
<li>Mentor junior consultants, review technical deliverables, and contribute to solution quality across engagements.</li>
<li>Leverage AI tools to accelerate analysis, synthesize complex information, and support data-driven recommendations for clients, exercising sound judgment in evaluating outputs.</li>
<li>Apply AI technologies (e.g., generative AI, automation tools, data models) to enhance insights, improve delivery efficiency, and elevate the quality of client outcomes.</li>
</ul><h2 class="jobSectionHeader"><b>What You Will Bring</b></h2>
<ul><li>4+ years of experience designing and implementing enterprise data engineering solutions.</li>
<li>Hands-on experience with Databricks, Snowflake, and/or Microsoft Fabric in enterprise environments.</li>
<li>Experience building cloud-native data pipelines using Spark, SQL, Python, and modern orchestration tools.</li>
<li>Experience with lakehouse architecture, cloud data warehousing, data modeling, and ELT/ETL development.</li>
<li>Experience integrating enterprise data platforms with analytics, business intelligence, machine learning, or generative AI solutions.</li>
<li>Familiarity with Azure cloud services, including Azure Data Factory, Azure Storage, Azure Synapse, Microsoft Fabric, or comparable cloud technologies.</li>
<li>Experience designing and implementing cloud-native data platforms on AWS, Microsoft Azure, and/or Google Cloud Platform (GCP), with expertise leveraging cloud-native data services alongside Databricks, Snowflake, and Microsoft Fabric to deliver scalable, secure, and high-performing analytics solutions.</li>
<li>Understanding of data governance, security, metadata management, and data quality best practices.</li>
<li>Experience with Git, CI/CD pipelines, Infrastructure as Code, and agile software delivery practices.</li>
<li>Strong analytical, problem-solving, and communication skills with the ability to collaborate effectively across technical and business teams.</li>
<li>Experience integrating AI tools (e.g., ChatGPT) into day-to-day workflows to enhance productivity and insight generation, coupled with strong critical thinking to assess accuracy, mitigate bias, and ensure high-quality outputs.</li>
<li>Ability to travel 30 to 50%.</li>
<li>A commitment to inclusion and diversity, and openness to new ideas and perspectives.</li>
<li>Ability to work permanently in the United States without sponsorship.</li>
<li>Hybrid work environment &ndash; 2x/week in office</li></ul><p></p><div><br>
<h3 class="jobSectionHeader"><b>
Other consultancies talk at you.</b><br>
<b>At West Monroe, we work with you.</b></h3>
<p>
We're a global business and technology consulting firm passionate about creating measurable value for our clients, delivering real-world solutions.</p>
<p>
The combination of business and technology is not new, but how we bring them together is unique. We're fluent in both. We know that technology alone is not the answer, but how we apply it is. We rely on data to constantly adapt and solve new challenges. Actions that work today with outcomes that generate value for years to come.</p>
<p>
At West Monroe, we zero in on the heart of the opportunity, getting to results faster and preparing people for what's next.</p>
<p>
You'll feel the difference in how we work. We show up personally. We're right there in the room with you, co-creating through the challenges. With West Monroe, collaboration isn't a lofty promise, but a daily action. We work together with you to turn vision into clear action with lasting impact.</p><br>
<p></p>
<p><b>
West Monroe</b><b> </b><b>is an Equal Employment Opportunity Employer</b><br>
We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit www.westmonroe.com/inclusion. If you require a reasonable accommodation to participate in our recruiting process, please inquire by sending an email to recruiting@westmonroe.com.</p>
<p>
Please review our current policy regarding use of generative artificial intelligence during the application process.</p>
<p>
If you are based in California, we encourage you to read West Monroe's Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA) and linked here.</p></div></div>

Senior Data Engineer

Morningstar

<div><div><div><p><b>About the Group: </b>Morningstar&rsquo;s Internship Program is designed to provide students with hands-on experience, professional development, and exposure to our mission-driven culture. As a People &amp; Culture Intern, you&rsquo;ll be part of a cohort of interns across the company, participating in training, mentorship, and networking opportunities while contributing meaningfully to our HR operations. We welcome students from all majors and backgrounds who are curious, collaborative, and passionate about making an impact. This internship is ideal for those interested in exploring a career in Human Resources and gaining exposure to multiple HR domains.<br>
</p></div><p></p><div><p><b>The Program: </b>We created the Morningstar Summer Internship Program for college students entering their final year as a first step towards successful, long-term careers in any professional field. Participants will contribute to different aspects of Morningstar&rsquo;s business through ten-week- individual and group projects, learning about the financial services and securities industries, and gaining critical business development skills. Our interns receive hands-on mentoring from their colleagues and the People &amp; Culture team to help them succeed at Morningstar.<br>
</p></div><p></p><div><p><b>Job Re </b><b>sponsibilities:
</b></p></div><div><ul><li><p>Support HR operations and service delivery by improving internal processes and documentation.
</p></li></ul></div><div><ul><li><p>Assist with projects related to analytics, process improvement, program development, and internal communications.
</p></li></ul></div><div><ul><li><p>Collaborate with HR team members and business partners to support organizational initiatives.<br>
</p></li></ul></div><p></p><div><p><b>Preferred Qualifications
</b></p></div><div><ul><li><p>Between 0-2 years of professional work experience.
</p></li><li><p>Currently pursuing a bachelor&rsquo;s degree (graduating in 2026 or later).
</p></li></ul></div><div><ul><li><p>Strong interest in Human Resources and organizational development.
</p></li></ul></div><div><ul><li><p>Excellent communication and interpersonal skills.
</p></li></ul></div><div><ul><li><p>Ability to work independently and collaboratively.
</p></li></ul></div><div><ul><li><p>High level of discretion when handling sensitive information.
</p></li></ul></div><div><ul><li><p>Analytical mindset and problem-solving ability.
</p></li></ul></div></div><div><div><ul><li><p>Demonstrated leadership or involvement in campus organizations or previous internship experience is a plus.
</p></li></ul></div><div><ul><li><p>A resume is required to apply. **Please be sure to include the word &quot; Resume &quot; in the file name of your resume*<br>
</p></li></ul></div><p></p><div><p>Must possess unrestricted right to work in the U.S. in this position<br>
</p></div><p></p><div><p>Location: Chicago
</p></div><div><p>Compensation: $25 per hour
</p></div></div><p></p><p><b>Compensation and Benefits
</b></p><p>At Morningstar we believe people are at their best when they are at their healthiest. That&rsquo;s why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:
</p><ul><li><p>Financial Health
</p><ul><li><p>100% 401k match up to 6% of salary
</p></li></ul><ul><li><p>Stock Ownership Potential
</p></li><li><p>Company provided life insurance - 1x salary + commission
</p></li></ul></li><li><p>Physical Health
</p><ul><li><p>Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages
</p></li><li><p>Additional medical Wellness Incentives - up to $300-$600 annual
</p></li><li><p>Company-provided long- and short-term disability insurance
</p></li></ul></li><li><p>Emotional Health
</p><ul><li><p>Trust-Based Time Off
</p></li><li><p>6-week Paid Sabbatical Program
</p></li><li><p>6-Week Paid Family Caregiving Leave
</p></li><li><p>Competitive 8-24 Week Paid Parental Leave
</p></li><li><p>Adoption Assistance
</p></li><li><p>Leadership Coaching &amp; Formal Mentorship Opportunities
</p></li><li><p>Annual Flex Stipend - $1000 annually to cover personal education &amp; well-being expenses
</p></li><li><p>Tuition Reimbursement
</p></li></ul></li><li><p>Social Health
</p><ul><li><p>Charitable Matching Gifts program
</p></li><li><p>Dollars for Doers volunteer program
</p></li><li><p>Paid volunteering days
</p></li><li><p>15+ Employee Resource &amp; Affinity Groups
</p></li></ul></li></ul><p></p><p>Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.</p></div>

Morningstar Internship Program – People & Culture Intern 2027 (Partner Link)

United Airlines

<div>Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.<br>
<br>
Come join us to create what&rsquo;s next. Let&rsquo;s define tomorrow, together.<br>
<h2 class="jobSectionHeader"><b>
Description</b></h2><p>
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architecture, data analytics, and digital solutions.</p><p><b>
Job overview and responsibilities</b></p><p>
The Senior Software Developer will play a critical role in modernizing the schedule development process within Network Planning. This role will be responsible for delivering end-to-end cloud-based solutions while also supporting and enhancing existing applications. The ideal candidate will work with enterprise-grade integration technologies, contribute to scalable application design, and help advance the team&rsquo;s technical capabilities.</p><p><b>
Key responsibilities include:</b></p><ul><li><b>
Full lifecycle development:</b> Participate in and manage all phases of the software development lifecycle, including requirements analysis, design, development, documentation, testing,, and support using Agile methodologies.</li><li><b>
Technical leadership:</b> Serve as a technical expert on development projects. Collaborate with internal employees and vendor partners to plan, design, and deliver high-quality solutions.</li><li><b>
Solution design &amp; architecture:</b> Lead and participate in software design discussions, analyze user needs, define technical requirements, and create technical specifications based on business requirements and conceptual designs.</li><li> <b>Application support and maintenance:</b> Support, maintain, and document application functionality; analyze code to identify root causes of issues and implement improvements as needed.</li></ul><p></p><ul><li><b><br>
Collaboration &amp; prototyping:</b> Partner with business users and technology teams to prototype, refine, test, and debug solutions to ensure applications meet business needs.</li><li><b>
Innovation</b>: Identify and evaluate emerging technologies for implementation to continually improve system results.</li></ul><p></p><h2 class="jobSectionHeader"><b><br>
Qualifications</b></h2><p><b>
What&rsquo;s needed to succeed (Minimum Qualifications):</b></p><ul><li>
Bachelor's degree in Computer Science, Computer Engineering, Management Information Systems or related field</li><li>
5&ndash;7+ years of experience designing, developing, documenting, testing, and debugging large-scale distributed applications using Python, Java, or C++, with strong SQL skills.</li><li>
Hands-on experience implementing AWS technologies, including Lambda, Step Functions, CloudWatch, CloudFront, Route 53, ECS, EC2, S3, RDS, API Gateway, and Secrets Manager.</li><li>
Full-Stack development experience, including UI development, APIs, JSON, and XML.</li><li>
Experience with cloud automation and CI/CD tools, such as GitHub, Harness and Artifactory Cloud.</li><li>
Strong understanding of Object-Oriented design principles and application development best practices</li><li>
Excellent communication, leadership, data validation, and documentation skills.</li><li>
Must be legally authorized to work in the United States for any employer without sponsorship.</li><li>
Successful completion of an interview is required to meet job qualifications. Reliable, punctual attendance is an essential function of this position.</li></ul><p><b>
What will help you propel from the pack (Preferred Qualifications):</b></p><ul><li>
Experience incorporating modern AI tools such as Claude, Agentic AI, or Copilot, into the software development lifecycle</li><li>
Hands-on experience in Machine Learning and AI design and development</li><li>
Experience with Julia language</li></ul><br>
The base pay range for this role is $112,480.00 to $146,540.00.<br>
The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.<br>
<br>
You may be eligible for the following competitive benefits: medical, dental, vision, life, accident &amp; disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.<br>
<br>
United Airlines is an Equal Opportunity Employer. We recruit, employ, train, compensate, and promote without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, age, veteran status, or any other protected category under applicable law. We provide reasonable accommodations for applicants and employees with disabilities. To request an accommodation, contact JobAccommodations@united.com</div>

Senior Developer - Information Technology

Rush University Medical Center

<p></p><div><p><b>Location: </b>Chicago, Illinois
</p><p><b>Business Unit: </b>Rush Medical Center
</p><p><b>Hospital: </b>Rush University Medical Center
</p><p><b>Department: </b>Research Computing
</p><p><b>Work Type: </b>Full Time Remote (Total FTE between 0.9 and 1.0)
</p><p><b>Shift: Shift 1
</b></p><p><b>Work Schedule: </b>8 Hr (8:00:00 AM - 5:00:00 PM)
</p><p><b>Rush offers exceptional rewards and benefits learn more at our </b>Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).
</p><p><b>Pay Range: </b>$34.61 - $51.57 per hour
<br>
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush&rsquo;s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.
</p><p>Summary:
<br>
The Analyst will support the research, clinical, quality improvement, and business data analysis needs of Rush University Medical Center. The Analyst will assist clinical faculty and Principal Investigators to identify and gather necessary data that span operational through research needs and will build databases to permit queries. The analyst will have a direct reporting relationship to the Knowledge Management Team, Medical Director, and Chief Analytics Officer, who are the subject matter experts in data access and research data requests. Exemplifies the Rush mission, vision and values and acts in accordance with Rush policies and procedures.
</p><div>Other information:
<br>
Required Job Qualifications:
<br>
<ul><li>Master's degree in information science, computer science, epidemiology, biostatistics, or equivalent technical experience.
</li><li>Strong analytic, issue resolution, and facilitation skills.
</li><li>Demonstrated proficiency writing SQL stored procedures or queries.
</li><li>Able to present complex information in an understandable and compelling manner.
</li><li>Able to prioritize and multi-task to manage expectations of multiple stakeholders.
</li><li>Able to deliver high quality, timely work product with significant autonomy.
</li><li>Effectively adapts to rapid changes in project or data requirements and changing directions.
</li><li>Strong written and verbal communication.
</li><li>Effective interpersonal and teamwork skills.
</li><li>Expertise with data and analytics tools.
</li><li>Experience querying and analyzing data with SQL programming language or equivalent tools.
</li></ul><br>
Preferred Job Qualifications:
<br>
<ul><li>At least three years of experience in statistical software (e.g. SAS or R), with data science experience.
</li><li>Some experience in the health care setting.
</li><li>Familiarity with healthcare industry or healthcare information systems.
</li><li>Experience with Epic.
</li><li>Experience with financial /claims data.<br>
</li></ul></div><div>Responsibilities:
<br>
<ul><li>Gather business/data requirements from clinical faculty and Principal Investigators and collaborate on the best way to design studies or to build study cohorts based on the Analyst's knowledge of available systems. Acts as interface between clinical experts and IT to determine feasibility, timelines, and cost of date requests.
</li><li>Uses third party software tools and research data warehouse in development of queries and visualizations. Creates research data marts using the enterprise IT architecture.
</li><li>Serves as representative for the KM Team on committees and initiatives that involve multi-site studies to facilitate IT and research informatics collaborations.
</li><li>Participates in analytics-based projects that leverage data collected from electronic medical records to measure and predict patient outcomes.
</li><li>Works with statisticians and mathematicians to design predictive models using statistical and machine learning methods that will predict patient outcomes.
</li><li>Develops analytic data sets for research and operations and uses statistical software (SAS or R) to analyze data sets as requested by departmental faculty.
</li><li>Produces reports that facilitate evidence-based clinical and financial decisions.
</li><li>Works with CRIO/CMIO/Knowledge Management team to develop new data queries and toolsets.
</li><li>Member of the IT business intelligence/knowledge management team at Rush. Maintains peer relationship and collaborative knowledge exchange with IT counterparts.
</li></ul></div><p>Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.</p></div>

Clinical Data Analyst

Explore 66+ Machine learning intern in Chicago this August. Find roles across top companies and apply now to boost your career.