machine learning engineer Jobs in Chicago

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ai engineering intern - summer 2026 Jobs in Chicago

ai engineering intern - summer 2026

ai/ml engineer 

machine learning intern

Motorola Solutions

<div>
 
 Company Overview
 
 
 
 At Motorola Solutions, we believe that everything starts with our people. We&rsquo;re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that&rsquo;s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.
 
 
 
 Department Overview
 
 
 
 Motorola Solutions, Inc.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Develop and implement analytics techniques to transform data into meaningful information using data-oriented programming languages, visualization software, data modeling, and machine learning to extract and analyze information.
 </li>
 <li>
 Research, evaluate, and test the latest Artificial Intelligence (AI)/ Machine Learning (ML) tools, protocols, and platforms to identify opportunities for internal adoption and technological advancement.
 </li>
 <li>
 Provide AI solution architecture support for business initiative and design end-to-end AI solutions that leverage emerging technologies to fulfill complex organizational requirements.
 </li>
 <li>
 Develop rapid functional AI/ML prototypes and proof-of-concept (PoC) applications to showcase advanced capabilities to internal and external stakeholders to drive business innovation.
 </li>
 <li>
 Design and implement one-off custom AI and ML use cases, utilizing cloud services and APIs to build scalable solutions that integrate seamlessly into existing enterprise applications.
 </li>
 <li>
 Provide technical consulting support and feedback for ongoing AI use cases, enhancements, and troubleshooting issues to ensure solution stability.
 </li>
 <li>
 Translate complex technical AI concepts into accessible language to ensure internal employees at all levels understand the functionality and value of available AI tools.
 </li>
 <li>
 Analyze, manipulate, and process large sets of data and visualize, interpret, and report data findings to support organizational goals.
 </li>
 <li>
 Telecommuting permitted from anywhere within the United States.
 
 
 </li>
 </ul>
 Target Base Salary Range: $96,928 to $131,800 USD
 
 
 Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate
 
 
 Basic Requirements
 
 
 <ul>
 <li>
 Masters degree + 1 years experience or
 </li>
 <li>
 Bachelors degree + 3 years experience.
 
 
 </li>
 </ul>
 Travel Requirements
 
 
 None
 
 
 Relocation Provided
 
 
 None
 
 
 Position Type
 
 
 Experienced
 
 
 Referral Payment Plan
 
 
 No
 
 
 
 Our U.S. Benefits Include
 
 
 
 <ul>
 <li>
 Incentive Bonus Plans
 </li>
 <li>
 Medical, Dental, Vision benefits
 </li>
 <li>
 401K with Company Match
 </li>
 <li>
 10 Paid Holidays
 </li>
 <li>
 Generous Paid Time Off Packages
 </li>
 <li>
 Employee Stock Purchase Plan
 </li>
 <li>
 Paid Parental &amp; Family Leave
 </li>
 <li>
 and more!
 
 
 </li>
 </ul>
 
 
 EEO Statement
 
 
 
 
 Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
 
 
 We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you&rsquo;d like to join our team but feel that you don&rsquo;t quite meet all of the preferred skills, we&rsquo;d still love to hear why you think you&rsquo;d be a great addition to our team.
 
 
 We&rsquo;re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.
</div>

Machine Learning Engineer

Lenovo

<div>
 We are Lenovo. We do what we say. We own what we do. We WOW our customers.
 
 
 Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
 
 
 This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
 
 
 
 About Our Team
 
 
 
 Lenovo is building Quantum, a next‑generation hybrid AI platform that spans Windows, Android, and cloud. As part of this initiative, we are growing the engineering organization that powers Qira, Lenovo&rsquo;s cross‑device Personal AI.
 
 
 We are hiring a
 
 Machine Learning Engineer
 
 to own the full agentic stack &mdash; from LLM orchestration, tool use, memory, and production deployment on devices.
 
 
 
 Location:
 
 Chicago, IL is highly preferred (Hybrid, 3 days onsite, 2 days remote)
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design and ship agentic LLM pipelines: multi-step reasoning, tool use, reflection loops, and long-horizon planning and memory.
 </li>
 <li>
 Build evaluation frameworks to measure agent reliability and safety across different tasks.
 </li>
 <li>
 Build and maintain RAG systems, vector stores, and external tool integrations.
 </li>
 <li>
 Deploy and scale agent systems in production; translate relevant research into working systems.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 5+ years in ML or applied AI with strong hands-on LLM experience (prompting, fine-tuning, inference optimization) on devices.
 </li>
 <li>
 Experience in Python and the modern ML stack (PyTorch, Hugging Face, vLLM or equivalent)
 </li>
 <li>
 Proven experience with agentic frameworks (LangGraph, AutoGen, CrewAI, or custom) and tool-use patterns (function calling, MCP, structured outputs)
 </li>
 <li>
 Experience with RAG architecture, embedding models, and LLM evaluation methodology
 </li>
 <li>
 Experience with software engineering fundamentals (python and at least one other programming language).
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Rust experience for performance-critical inference or runtime components
 
 
 </li>
 </ul>
 The base salary budgeted range for this position is $145K - $155K. Individuals may also be considered for bonus and/or commission.
 
 
 Lenovo&rsquo;s various benefits can be found on www.lenovobenefits.com.
 
 
 
 We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
 
</div>

The Art Institute of Chicago

<div>The Art Institute of Chicago shares its singular collections with our city and the world. We collect, care for, and interpret works of art across time, cultures, geographies, and identities. We are a place of gathering and learning, committed to fostering an inclusive understanding of human creativity.

Position Summary

The Art Institute of Chicago&rsquo;s Research Center is excited to offer a McMullan Arts Leadership intern position to work with their library team.
A hub for scholarship and training, the Art Institute Research Center brings together the museum&rsquo;s Ryerson and Burnham Library, the Art Institute of Chicago Archives, and the department of Academic Engagement and Research to care for, modernize, and share the Art Institute of Chicago&rsquo;s broad array of research resources.
The historic Ryerson and Burnham Library is one of the nation&rsquo;s preeminent art research libraries. The collection holds more than 670,000 print titles, 100,000 auction catalogs, 200 current serial subscriptions, and extensive digital resources. The Library resources the museum&rsquo;s eleven curatorial departments, supporting myriad research fields spanning the globe and all time periods. In addition to upholding the museum&rsquo;s core activities, the Library makes its collections accessible to the scholarly community, faculty and students, artists and architects, and inquisitive public visitors from around the world.
The intern will research various primary sources to document the sources of items in our library collection. Being able to attribute rare books to specific donors and being able to list items donated by significant donors will be of great value to our Provenance, Philanthropy, and Curatorial Departments.
The intern will join a museum-wide intern cohort and have access to a range of programs to support their development in addition to their placement in the libraries. Mentorship is provided throughout the experience, and connections with an intern alumni network will be established.
Duration of Position: 32 weeks / September 2026 (start date anytime during the week of September 21&ndash;25) through April 2027 (end date anytime during the week of April 26&ndash;April 30).

McMullan Arts Leadership Internship Program Goals

The McMullan Arts Leadership internship program is part of a museum-wide effort to provide students the opportunity to gain experience, career awareness, networks, and skills that will position them to thrive as future art museum leaders.

This program specifically aims to support students who encounter economic challenges when considering a career in the arts. Aligned with this goal, we aim to help shape a diverse group of leaders whose actions are informed by a wide range of perspectives, varying career paths, and values inspired by their own lived experiences.

Internship Outcomes

In this position, the intern will have the opportunity to:
<ul><li>Discover information access points, such as written and published documentation, as well as investigating physical clues of a book such as margin notes, labels, and book plates;</li>
<li>Learn about and handle rare books, including artists&rsquo; books;</li>
<li>Navigate an integrated library system (Alma/Primo), including editing catalog records;</li>
<li>Understand how a library functions within a museum setting;</li>
<li>Develop mentor relationships with field practitioners;</li>
<li>Build peer-to-peer relationships with fellow interns.</li>
</ul>
Responsibilities

With guidance from the position&rsquo;s mentors, the intern will:
<ul>
<li>Compile data from a variety of in-house sources to create a spreadsheet documenting key data points about the sources of our library books;
</li><li>Add the relevant information into our library database, using a provided structured vocabulary;
</li><li>Collaborate with the Library Director and the Associate Director of Access Services to focus the project on the most necessary information;
</li><li>Prepare and deliver a presentation to the Research Center staff, summarizing their work and how it was beneficial to their studies;
</li><li>Participate in regular meetings with members of the department and the mentors of this position: director of the Ryerson &amp; Burnham Libraries as well as the associate director of access services;
</li><li>Attend intern cohort professional development programs and museum practice seminars.</li>
</ul>
Qualifications
<ul>
<li>Undergraduate or graduate student; recent graduates (within one year of graduation) will also be considered;</li>
<li>Applicants must be based in the Chicagoland area and/or attending school in the Chicagoland area over the course of the internship term;</li>
<li>Interest in, current enrollment, or recently graduated from a Library or Information Science Masters program;</li>
<li>Meticulously detail-oriented;</li>
<li>Agility in data entry and willingness to work with library databases and spreadsheets;</li>
<li>Ability to push carts of books, handle books, bend, and occasionally lift 20 pounds.</li>
</ul>
Compensation &amp; Benefits

Hiring Range: $17.50/hour (Maximum 14 hours per week, for a total of up to 448 hours over the course of the internship.)

This position is not benefits eligible.
<ul>
<li>Job Classification: Hourly</li>
<li>Employment Category: Intern</li>
</ul>
Schedule: This is a part-time, 32-week position for a currently enrolled or recently graduated undergraduate or graduate student. The intern will work 14 hours per week, for a total of up to 448 hours over the course of the internship. Work days will occur between Monday&ndash;Friday; the start date and schedule will be determined upon agreement with the candidate and the host department.

Hourlong virtual and in-person intern professional development programs will be scheduled throughout the internship term that the student is strongly encouraged to attend. These programs will occur during the week; we ask that the intern make this part of their internship schedule.

Format: The internship will be fully onsite. Due to onsite necessity, applicants based or attending school in the Chicagoland area during the internship timeframe will be prioritized. Internet access and appropriate technology will be necessary to complete this internship; technological accommodations will be provided by the Art Institute of Chicago based on necessity.

Application Instructions

You must upload all of the requested materials below (resume and essay responses) into only one pdf document and list your last name and &ldquo;AY 26-27&rdquo; in the title of the file (example: [LAST NAME]_AY 26-27.pdf.) Please upload your materials where asked in the online application.

PLEASE NOTE: You will not be considered if any requested application element is missing.

To apply for this internship, tell us your story. We want to understand who you are, what motivates you, how you think, and where you&rsquo;re coming from. Please submit the following materials:
<ul>
<li>Resume</li>
<li>Short Essays: Instead of a cover letter, please respond to the following questions in short essays (no more than 300 words per essay.) We encourage you to provide specific examples to support your answers or to illustrate your ideas:</li>
<li><ul><li>What about this job description interests you the most?</li>
<li>With the mission of the McMullan Arts Leadership intern program in mind, what perspectives might you bring to this role that you think museums need more of?</li>
<li>How do you envision this opportunity helping you towards your professional goals?</li>
</ul></li>
</ul>DEADLINE: The deadline to submit an application to this position is Monday, July 27 at 11:59 pm CDT. We will not accept late applications.

Selected applicants will be invited to participate in a video interview approximately two weeks after the application deadline.

Accessibility

If you are a job seeker with a disability and require a reasonable accommodation to apply for one of our jobs, you will find the contact information to request the appropriate accommodation by visiting the following page:

Accessibility Accommodation for Applicants (https://recruiting2.ultipro.com/ART1010AICH/JobBoard/d263cd2b-c4ef-4e10-8876-a2896406a573/Accessibility)

Equal Opportunity Statement

The Art Institute of Chicago is an Equal Opportunity Employer that recruits, hires and promotes qualified individuals compliant with federal and state laws. If reasonable accommodation is needed to participate in the job application or interview process, please contact the Department of Human Resources at apply_help@artic.edu (mailto:apply_help@artic.edu).
Equal Opportunity Employer 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.</div>

McMullan Arts Leadership Internship, Research Center - Libraries

Capital One

<div>Principal Associate, Data Scientist - Global Payments Network: Data Solutions and Modeling
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Data Solutions and Model team builds the machine learning and AI agents that help our customers in the Global Payment Network. We create models and AI tools to support fraud/risk, merchant acceptance, merchant intelligence and monitoring. 
Role Description
In this role, you will:<ul><li>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</li><li>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li></ul>
The Ideal Candidate is:<ul><li>
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.</li><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</li></ul></li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
At least 3 years&rsquo; experience in Python, Scala, or R</li><li>
At least 3 years&rsquo; experience with machine learning</li><li>
At least 3 years&rsquo; experience with SQL</li><li>
Experience with Large Language Models (LLMs), including utilizing embedding models and working with vector databases</li><li>
Experience designing and implementing AI workflows and autonomous AI agents</li></ul> 
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Anytown, IL: $147,100 - $167,900 for Princ Associate, Data Science 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Principal Associate, Data Scientist - Global Payments Network: Data Solutions and Modeling

iManage

<div>We offer a flexible working policy that supports a healthy balance between personal and professional well-being. This role requires in-office presence on Tuesdays &amp; Thursdays to collaborate, connect, and learn from peers - while also maintaining the flexibility for meaningful work-life balance.
Being a Senior AI Software Engineer at iManage Means&hellip;
You are passionate about building and deploying AI systems that work at scale in production. You will work within the Applied AI team alongside engineers, data scientists, and product stakeholders to develop the AI capabilities that power iManage&rsquo;s enterprise work platform, including Ask iManage, our generative AI document assistant, as well as document classification, extraction, and LLM-driven features that directly impact how knowledge workers search, organize, and understand their most critical information. You bring hands-on depth in both model development and the infrastructure required to ship it reliably, and you thrive at the intersection of machine learning, software engineering, and cloud infrastructure.
iM Responsible For&hellip;<ul><li>
Owning the end-to-end ML lifecycle for AI systems from model development and evaluation through to scalable production serving, generative AI document intelligence, and agentic system use cases</li><li>
Deploying and optimizing ML/AI systems on GPUs and Kubernetes-based cloud infrastructure, including AKS or equivalent platforms, while balancing trade-offs across scalability, latency, performance, operational complexity, and cost efficiency</li><li>
Designing and implementing production-ready LLM applications and APIs with monitoring, observability, and integration testing built in</li><li>
Applying modern engineering practices for production AI systems, including containerized services, CI/CD pipelines, model and version tracking, and release governance</li><li>
Collaborating with product and business stakeholders to translate requirements into viable technical solutions</li><li>
Conducting code reviews and providing constructive feedback to team members</li><li>
Contributing to best practices and standards for AI engineering across the team</li></ul>
iM Qualified Because I Have&hellip;<ul><li>
A Bachelor&rsquo;s, Master&rsquo;s, or Ph.D. in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics, or a related field</li><li>
3+ years of experience in ML/AI engineering or software engineering</li><li>
Hands-on experience building and shipping LLM systems into production</li><li>
Deep proficiency in Python and modern AI frameworks, including PyTorch and Hugging Face</li><li>
Solid understanding of ML fundamentals including hands-on experience with both traditional ML and modern generative AI and transformer architectures</li><li>
Demonstrated experience fine-tuning language models and deploying them to production</li><li>
Experience with GPU optimization for training and inference workloads</li><li>
Experience with Kubernetes deployment on cloud infrastructure (Azure, AWS, or GCP) to optimize systems for scalability, latency, performance, and cost efficiency</li><li>
The ability to work collaboratively across teams, communicate with precision, and take ownership from prototype to production</li></ul>
Bonus Points If I Have&hellip;<ul><li>
Experience with distributed training frameworks (e.g., PyTorch Distributed, Ray) and inference optimization tools (e.g., vLLM, SGLang)</li><li>
Experience with agentic engineering, including agent harness and agent memory, and orchestration frameworks such as LangChain, LlamaIndex, or similar tools</li><li>
Experience with knowledge graphs and multimodal LLMs</li><li>
Familiarity with AI/ML observability tools and model lifecycle management best practices</li></ul>
Don't meet every qualification listed above? Studies show that women and people of color are less likely to apply to jobs unless they meet all qualifications. At iManage, we are committed to building a diverse and inclusive environment, and encourage everyone to show up as their full authentic selves. We welcome those that come with a growth mindset and a hunger for learning; so, if you are excited about this role but your past experience doesn't align perfectly with every qualification we encourage you to apply anyways!
iM Getting To&hellip;<ul><li>
Join a supportive, experienced team with an inclusive, encouraging, and vibrant culture.</li><li>
Have flexible work hours that allow me to balance my &lsquo;me time&rsquo; with my work commitments.</li><li>
Collaborate in a modern open plan workspace, with a gaming area, free snacks, drinks and regular social events.</li><li>
Focus on impactful work, solving complex, real challenges utilizing the latest technologies and protocols.</li><li>
Own my career path with our internal development framework. Ask us more about this!</li><li>
Learn new skills and earn certifications with access to unlimited courses in LinkedIn Learning.</li><li>
Join an innovative, industry leading SaaS company that is continuing to grow &amp; scale!</li></ul>
iManage Is Supporting Me By...<ul><li>
Creating an inclusive environment where I can help shape the culture not just by fitting in, but by adding to it.</li><li>
Providing a market competitive salary that is applied through a consistent process, equitable for all our employees, and regularly reviewed based on industry data.</li><li>
Rewarding me with an annual performance-based bonus.</li><li>
Offering comprehensive Health/Vision/Dental/Life Insurance, and a 401k Retirement Savings Plan with a company match up to 4%.</li><li>
Giving access to HealthJoy, a healthcare concierge service, to help me maximize my health benefits.</li><li>
Granting enhanced leave for expecting parents; 20 weeks 100% paid for primary leave, and 10 weeks 100% paid for secondary leave.</li><li>
Providing me with a flexible time off policy to take the time off that I need. Be it for vacation, volunteering, celebrating holidays, spending time with family, or simply taking time to recharge and reset.</li><li>
Caring for my mental health and well-being with multiple company wellness days and free access to the Healthy Minds app for mindfulness, meditation and more.</li></ul>
The overall US annual base salary range for this position is $130,000&ndash;$170,000. Individual compensation for each candidate depends on factors such as qualifications, experience, and candidate location. This range does not include additional forms of compensation, such as bonuses, or benefits. Your recruiter will provide further details about the offer range, incentives, and overall compensation during the hiring process.
About iManage&hellip;
iManage is dedicated to Making Knowledge WorkTM. Over one million professionals across 65+ countries rely on our intelligent, cloud-enabled, secure knowledge work platform to uncover and activate the knowledge that exists inside their business content and communications.
We are continuously innovating to solve the most complex professional challenges and enable better business outcomes; Our work is not always easy but it is ambitious and rewarding.
So we&rsquo;re looking for people who love a challenge. People who are happiest when they&rsquo;re solving problems and collaborating with the industry&rsquo;s best and brightest. That&rsquo;s the iManage way. It&rsquo;s how we do things that might appear impossible. How we develop our employees&rsquo; strengths and unlock their potential. How we find meaning in everything we do.
Whoever you are, whatever you do, however you work. Make it mean something at iManage.
iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Learn more at: www.imanage.com
Please see our privacy statement for more information on how we handle your personal data:
https://imanage.com/privacy-policy/
#LI-Hybrid
#LI-RW1
s8WcECcH4I</div>

Senior AI Software Engineer

Enova International

<div>
 
 
 We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.
 
 #BI-Remote
 
 
 
 
 
 About the role:
 
 
 
 Enova has two different small business lending brands, each with their own unique offerings and customer requirements. As a Small Business Customer Service Representative, you will become an expert in both brands over the course of our 4 week training program. After you complete training, you will primarily be responsible for providing superior customer service and a positive experience to our customers.
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Respond to incoming customer calls, addressing their questions and providing service
 </li>
 <li>
 Manage and respond to all customer inquiries, fulfilling requests, and offering comprehensive education on our products and services
 </li>
 <li>
 Deliver high-quality support by handling tasks related to payment processing, creating payment plans, and addressing other account-related matters to enhance the overall customer experience
 </li>
 <li>
 Uphold exceptional customer service standards through articulate and effective verbal and written communication
 </li>
 <li>
 Keep customer accounts meticulously updated with accurate information
 </li>
 </ul>
 
 
 Requirements:
 
 
 <ul>
 <li>
 Prior call center experience is a plus, but we value candidates with a proven background in fast-paced customer service environments.
 </li>
 <li>
 Exceptional communication and active listening skills with a proven history of professionalism and empathy in customer interactions.
 </li>
 <li>
 Proven ability to thrive in a high-volume environment by demonstrating exceptional adaptability and multi-tasking skills.
 </li>
 <li>
 Comfortable utilizing new technology and have a proven ability to excel in a remote work environment.
 
 </li>
 </ul>
 
 
 Compensation:
 
 
 
 The budgeted hourly rate for this position is $17.50. Additional compensation for this role may include bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here.
 
 
 
 This role is entirely remote; however, candidates must reside in the state of AZ, IA, ID, IL, IN, MN, MO, NM, NV, UT, WI, or WY.
 
 
 
 
 Benefits &amp; Perks:
 
 
 <ul>
 <li>
 Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results.
 </li>
 <li>
 
 Health, dental, and vision insurance including mental health benefits
 
 </li>
 <li>
 
 401(k) matching plus a roth option (U.S. Based employees only)
 
 </li>
 <li>
 
 PTO &amp; paid holidays off
 
 </li>
 <li>
 
 Sabbatical program (for eligible roles)
 
 </li>
 <li>
 
 Summer hours (for eligible roles)
 
 </li>
 <li>
 
 Paid parental leave
 
 </li>
 <li>
 
 DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova)
 
 </li>
 <li>
 
 Employee recognition and rewards program
 
 </li>
 <li>
 
 Charitable matching and a paid volunteer day&hellip;Plus so much more!
 
 </li>
 </ul>
 
 
 About Enova
 
 
 
 
 Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus&trade;platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks&mdash;in order to create accessible credit for millions.
 
 
 &nbsp;
 
 
 
 
 Being a values-driven organization is at the core of Enova&rsquo;s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova&rsquo;s values and culture
 
 
 here
 
 
 .&nbsp;
 
 
 
 
 It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click
 
 
 
 
 here
 
 
 to review our California Privacy Policy for Job Applicants.
 
 
</div>

Small Business Customer Service Representative (Remote)

<div>We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.

About the Role:

The Operational Audit Associate oversees audits of third-party collection agencies, law firms, and the internal recovery team to ensure compliance with the FDCPA and other regulatory requirements. This role evaluates operational processes, inventory management, and collection practices through onsite and offsite audits. The auditor also monitors key controls and compliance areas such as dialing regulations, payment processing, dispute handling, licensing, and contract adherence while providing oversight and recommendations to strengthen operational performance and regulatory compliance. This role reports to the Lead, S&amp;O.

Responsibilities:
<ul>
<li>Conduct quarterly onsite and offsite audits of third-party collection agencies, law firms, and internal recovery operations to assess performance, operational processes, and regulatory compliance.</li>
<li>Audit inventory, accounts, and files forwarded to agencies to verify accuracy, completeness, and adherence to internal policies.</li>
<li>Review call recordings, written communications, and outbound collection activity (letters, emails, dialing, SMS, prerecorded messages, chat) to ensure compliance with the FDCPA and other applicable laws.</li>
<li>Evaluate key compliance and operational areas including dialing regulations, payment processing, disputes, settlements, payment plans, licensing, and contract adherence.</li>
<li>Identify deficiencies or non-compliant activities, document findings, and partner with agencies to implement corrective actions.</li>
<li>Prepare detailed audit reports and maintain records to support internal monitoring and regulatory reviews.</li>
<li>Collaborate with Compliance and Operations teams to stay current on regulatory requirements and industry best practices.</li>
<li>Provide recommendations to leadership regarding vendor performance, retention, or termination.</li>
<li>Conduct performance audits including liquidation rate analysis and improvement opportunities.</li>
</ul>
Requirements:
<ul>
<li>Bachelor's degree in Business or equivalent experience in collections at a creditor, lender, or collection agency/debt buyer.</li>
<li>5&ndash;7 years of experience in collections operations, vendor management, or dialer strategy.</li>
<li>Experience in collections training, quality assurance, reporting or compliance preferred.</li>
<li>Ability to identify audit findings, escalate issues appropriately, and manage relationships with agency or law firm leadership in a professional and assertive manner.</li>
<li>Proven ability to manage complex projects through their entire lifecycle, from initial scoping to final delivery.</li>
<li>Strong written and verbal communication skills with the ability to collaborate across departments.</li>
<li>Proficiency in Microsoft Office and Google Suite.</li>
</ul>
Compensation

The budgeted annual salary range for this position is $72,000 to $104,000. Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here. #BI-Hybrid #LI-Hybrid<div>
Benefits &amp; Perks:
<ul>
<li>Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results.</li>
<li>Health, dental, and vision insurance including mental health benefits</li>
<li>401(k) matching plus a roth option (U.S. Based employees only)</li>
<li>PTO &amp; paid holidays off</li>
<li>Sabbatical program (for eligible roles)</li>
<li>Summer hours (for eligible roles)</li>
<li>Paid parental leave</li>
<li>DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova)</li>
<li>Employee recognition and rewards program</li>
<li>Charitable matching and a paid volunteer day&hellip;Plus so much more!</li>
</ul>
About Enova

Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus&trade;platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks&mdash;in order to create accessible credit for millions.

Being a values-driven organization is at the core of Enova's success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova's values and culture here.

It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.</div></div>

Operational Audit Associate (Hybrid)

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