machine learning engineer Jobs in Chicago

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principal ml engineer

J2B GLOBAL LLC

<div><div><div><div><h3 class="jobSectionHeader">Principal ML Engineer</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><div> Refer</div></div>

Principal ML Engineer

Uber

<div>About the Role
 
 
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.
 
 
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.
 
 
What You'll Do
 
 
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.
 
 
Basic Qualifications
<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>Preferred Qualifications
<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 
<li>
</li></ul> 
 
For Chicago, IL-based roles: The base salary range for this role is USD $209,000 per year - USD $232,000 per year. 
 
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. 
 
For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
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. 
 
Ready to Ride? 
 
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. 
 
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
 
 
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. 
 
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

KeyBank

<div>Location:
4910 Tiedeman Road, Brooklyn Ohio
Department: Contact Center Technology 
Experience: 4+ years<h3 class="jobSectionHeader">
About the Role</h3>
KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences.
Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives.
The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks.</li><li>
Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives.</li><li>
Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements.</li><li>
Own end-to-end delivery of complex AI features, from concept and design through deployment and production support.</li><li>
Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences.</li><li>
Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies.</li><li>
Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios.</li><li>
Provide technical mentorship and code review support while contributing directly to development efforts.</li><li>
Establish engineering best practices for AI solution development, testing, deployment, and observability.</li><li>
Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness.</li><li>
Ensure solutions comply with security and regulatory requirements (PII / PCI).</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role.</li><li>
Strong hands-on experience building and deploying AI-powered applications and services.</li><li>
Strong, hands-on experience with Node.js / TypeScript.</li><li>
Proven experience designing and delivering cloud-native solutions on GCP.</li><li>
Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks.</li><li>
Solid understanding of microservices architecture, APIs, and distributed systems.</li><li>
Hands-on Kubernetes experience, including GKE cluster setup and platform operations.</li><li>
Experience with IVR, voice bots, conversational AI, or contact center technologies.</li><li>
Strong collaboration skills across engineering, product, and operations teams.</li><li>
Excellent technical judgment, communication, and problem-solving skills.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain).</li><li>
Experience developing AI agents, orchestration workflows, and multi-agent solutions.</li><li>
Knowledge of voice flows, call routing, containment, and agent escalation.</li><li>
Experience working in regulated or financial services environments.</li><li>
Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code.</li><li>
Experience working in Agile delivery models at enterprise scale.</li><li>
Demonstrated experience with Agentic &quot;Vibe Coding&quot; &mdash; rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows.</li></ul>
This position is NOT eligible for employment visa sponsorship for non-U.S. citizens.
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Please click here for a list of benefits for which this position is eligible.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 09/11/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com. 

#LI-Remote</div>

Lead AI Engineer

Morningstar

<div>About Morningstar
Good investing decisions start with good information. Morningstar builds the research, data, and technology that help individual investors, financial advisors, and institutions make sense of markets. We are independent by design &mdash; our data and opinions answer to evidence, not to outside influence. That independence makes us a force for good in the markets, bringing transparency and unbiased information to the people who rely on us.
We can only empower investors if our people feel empowered &mdash; and that starts with how we hire. Talent Acquisition brings in the people who move that work forward, and for many of them it is their first experience of Morningstar.
<div></div>About the Role
As a Lead Technical Recruiter, you own recruiting outcomes for Morningstar's technical hiring across North America &mdash; engineering, AI/ML, data science, and product &mdash; and you set the standard for what great hiring looks like. This is a senior individual-contributor role: you run the most complex searches yourself and raise the bar for the recruiters around you through example and expertise, not direct reports.
Recruiting here runs the way Morningstar's research does &mdash; on evidence, independence, and a genuine point of view, not order-taking. Your job is to make that the daily standard for the recruiters around you.
<div></div>What You'll Do
<ul><li>Own recruiting outcomes for Morningstar's technical roles across North America &mdash; quality of hire, speed, and candidate experience.
</li><li>Define what good looks like across intake, sourcing, selection, and closing, and mentor recruiters against a capability model with hands-on feedback that grows true advisors.
</li><li>Take on the most complex and senior searches in your area, bringing evidence, judgment, and a clear point of view to every stage.
</li><li>Bring genuine technical fluency across AI/ML, engineering, and product &mdash; enough to hold credible conversations, assess real depth (not keywords), and partner with engineering, data science, and product leaders to turn technical requirements into search strategy and market maps.
</li><li>Serve as the senior TA voice for your domain with business and HR leaders, bringing market intelligence and a clear point of view.
</li><li>Make structured, fair, evidence-based selection the standard across your domain, and facilitate calibrated debriefs.
</li><li>Own pipeline health for your domain &mdash; forecasting risk, intervening early, and turning recruiting data into insight for stakeholders and TA leadership.
</li><li>Design and champion AI-assisted recruiting workflows, driving adoption while keeping their use responsible and compliant.
</li><li>Contribute to playbooks, training, and process improvements that scale beyond your own searches.
</li><li>Support the vision and values of the company through role modeling and encouraging desired behaviors.
</li><li>Participate in various company initiatives and projects as requested.
</li></ul>Required Qualifications
<ul><li>7 or more years of recruiting experience, including time spent mentoring or coaching other recruiters
</li><li>Personal track record owning complex or senior searches with strong, measurable outcomes
</li><li>Deep understanding of technical hiring across AI/ML, engineering, and product &mdash; you can scope technical roles credibly and speak the language of the teams you hire for.
</li><li>Demonstrated ability to set standards and raise the capability of the recruiters around you &mdash; people grow under your coaching
</li><li>Ability to influence senior stakeholders with market insight and data
</li><li>Fluent designing and coaching AI-assisted recruiting workflows
</li><li>Solid working knowledge of employment law, EEO, and OFCCP as applied to talent acquisition
</li></ul><div></div>Preferred Qualifications
<ul><li>Experience with Workday, Paradox and Hired Score
</li><li>Track record building or improving a recruiting program, tool, or training curriculum
</li></ul>Compensation and Benefits
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:
<ul><li>Financial Health
<ul><li>100% 401k match up to 6% of salary
</li></ul><ul><li>Stock Ownership Potential
</li><li>Company provided life insurance - 1x salary + commission
</li></ul></li><li>Physical Health
<ul><li>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
</li><li>Additional medical Wellness Incentives - up to $300-$600 annual
</li><li>Company-provided long- and short-term disability insurance
</li></ul></li><li>Emotional Health
<ul><li>Trust-Based Time Off
</li><li>6-week Paid Sabbatical Program
</li><li>6-Week Paid Family Caregiving Leave
</li><li>Competitive 8-24 Week Paid Parental Leave
</li><li>Adoption Assistance
</li><li>Leadership Coaching &amp; Formal Mentorship Opportunities
</li><li>Annual Flex Stipend - $1000 annually to cover personal education &amp; well-being expenses
</li><li>Tuition Reimbursement
</li></ul></li><li>Social Health
<ul><li>Charitable Matching Gifts program
</li><li>Dollars for Doers volunteer program
</li><li>Paid volunteering days
</li><li>15+ Employee Resource &amp; Affinity Groups
</li></ul></li></ul>Total Cash Compensation Range
$95,275.00-139,741.66
Inclusive of annual base salary and target incentive
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.
001_MstarInc Morningstar Inc. Legal Entity</div>

Talent Acquisition Technology Lead

Rush University Medical Center

<div>Location: Chicago, Illinois
Business Unit: Rush Medical Center
Hospital: Rush University Medical Center
Department: Research Computing
Work Type: Full Time Remote (Total FTE between 0.9 and 1.0)
Shift: Shift 1
Work Schedule: 8 Hr (8:00:00 AM - 5:00:00 PM)
Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).
Pay Range: $34.61 - $51.57 per hour
 
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.
Summary:
 
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.
<div>Other information:
 
Required Job Qualifications:
 
<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> 
Preferred Job Qualifications:
 
<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. 
</li></ul></div><div>Responsibilities:
 
<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>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.</div>

Clinical Data Analyst

LEARN Charter School

<div>Founded in 2001, LEARN is a network of high-performing college preparatory, tuition-free public elementary and middle schools with the mission of providing children with the academic foundation and ambition to earn a college degree. There are 11 LEARN Schools serving 4,100 students in grades PK-8 across Chicago, Waukegan, North Chicago, and Washington, D.C.
It is our goal to create an environment, on every campus, in which our staff members feel supported, respected, and appreciated. Our staff work together at each school and across the network to share ideas, problem solve, and innovate to move our schools and students beyond the expected. LEARN has been honored by having one of our school leaders recognized as the 2022 Principal of the Year by the Illinois Network of Charter Schools, in addition to LEARN 9 Waukegan earning a Exemplary school designation by the Illinois State Board of Education. LEARN also received a $7 million dollar gift from Mackenzie Scott in honor of our positive impact on education in Chicago.
LEARN's mission remains crystal clear: to provide children with the academic foundation and ambition to earn a college degree. LEARN is currently looking for hard-working and passionate professionals that are dedicated to transforming public education.
What You'll Do:
As an Office Manager, your critical tasks will include but not be limited to: 
Essential Job Functions<ul><li>Interacts frequently with staff, parents, students, instructors, visitors and community members</li><li>Manages student enrollment processes including family outreach and marketing</li><li>Responsible for the maintenance, care, security and integrity of student records</li><li>Updates all records and maintains a detailed filling system related to student information management systems (i.e. attendance, grades, health records, etc.). Adheres strictly to the policy of maintaining confidentiality</li><li>Ensures that the school is in compliance and meets all necessary administrative deadlines, requirements, etc.</li><li>Provides exceptional administrative support to the Principal and performs tasks in an efficient, professional and timely manner</li><li>Oversees staff attendance reporting</li><li>Facilities the ordering and receiving supplies for the office and school (i.e. purchase order process)</li><li>Provides Tier 1 tech support as needed (backup to IT support staff)</li><li>Establishing and maintains the organization of the school office</li></ul>
This job is a great fit if you:
<ul><li>Have a demonstrated record of living LEARN's Core Values
</li><li>Have experience working with computers including software (such as Excel) and student information management systems (i.e. Powerschool and ASPEN)
</li><li>Evaluate and improve processes
</li><li>Perform responsible, accurate and timely clerical work
</li><li>Understand and carry out oral and written directions
</li><li>Type at least 40-50 WPM
</li><li>Are able to establish and maintain professional relationships
</li><li>Can communicate accurately, courteously and effectively &ndash;orally and in writing &ndash; to different audiences</li></ul>
Preferred<ul><li>
You are bilingual
</li><li>Experience as an Office Manager or senior receptionist with 5 + years in a school setting preferred.</li><li>
Associates degree</li>
Ability to develop and maintain budgets 
<li>
</li></ul> 
 
Benefits Summary:
We offer a comprehensive and competitive benefits package for all full time employees, including:<div><ul><li> 
Medical, Dental and Vision Insurance</li><li>Wellness Benefits: Online Mental Health Support, free on site COVID testing</li><li>Paid vacation, personal days, paid holidays, including 5 days off every 23 days in a school year</li><li>Short and long term disability</li><li>Paid life insurance</li><li>403B Contribution + 4.5% matching as eligible</li></ul> 
</div> 
Working Conditions and Physical Demands
Nature of work required an ability to operate standard business office equipment. Required ability to communicate and exchange information, collect, compile and prepare work documents, set-up and maintain work files. Majority of work is performed in a general office environment. May require participation and attendance at organization sponsored events and meetings. 
 
This job description is not intended to be a complete list of all responsibilities, duties or skills required for the job and is subject to review and change at any time, with or without notice, in accordance with the needs of LEARN Charter School Network. Since no job description can detail all the duties and responsibilities that may be required from time to time in the performance of a job, duties and responsibilities that may be inherent in a job, reasonably required for its performance, or required due to the changing nature of the job shall also be considered part of the jobholder's responsibility.</div>

Office Manager

Study Hotels

<div>Truth be Told, a restaurant located inside The Study at University of Chicago, is currently seeking a flex Host to provide genuine hospitality and the highest quality of service to our guests. The ideal candidate can create an engaging environment, providing courteous, responsive, guest-centered service.
Our caring and attentive associates reinforce our principal belief that guest service is our highest priority. We have opportunities for energetic, service-oriented individuals who are experienced in providing efficient service and memorable experiences. 
 
Pay Rate: $20.60 
 
Responsibilities<ul><li>
Provide the highest and most efficient level of hospitality and customer service expected by our guests.</li><li>
Greet guest and seats guests.</li><li>
Help guest with reservations and guide them to their table.</li><li>
Records and confirms reservations thought OpenTable or through call-in requests.</li><li>
Monitor guest waiting list.</li><li>
Answers telephone to service internal and external guest.</li><li>
Handles room service and to go orders via telephone.</li><li>
Handles cash, credit cards and guest room charges.</li><li>
Assists with serving guest by bringing out meal orders if servers are busy.</li><li>
Help monitor and observe guest&rsquo;s dining experience to ensure guest are satisfied with the food and service and respond promptly and courteously to correct any problems.</li><li>
Maintain a level of knowledge of all menu items and beverage programs.</li><li>
Be a team player and assist others when and where necessary to ensure a seamless guest experience.</li><li>
Complete the setup and breakdown of a section, including detailed cleaning of the work area and surrounding areas.</li><li>
Working with servers to ensure that orders are completed according to request and on time.</li><li>
Maintain a safe and clean work environment.</li><li>
Report any damages, shortcomings, and disturbances to supervisors.</li><li>
Ensuring that restaurant operation procedures and hygiene meet food safety standards and regulations.</li><li>
Ability to work a flexible schedule, including weekends and holidays.</li><li>
Be available to fill in as needed to ensure the smooth and efficient operation of the restaurant as directed by the Restaurant Manager.</li><li>
Any other duties assigned by Supervisor/Manager</li></ul>
Fundamentals<ul><li>
Ability to maintain a friendly, cheerful, and courteous demeanor at all times.</li><li>
Education: High school diploma or general education degree (GED).</li><li>
Experience: 2+ years experience in a fine dining or upscale casual environment.</li><li>
Flexibility to work any shift, including evenings, weekends, and holidays.</li><li>
Excellent verbal and written interpersonal communication skills.</li><li>
Proficiency in English required. A second language is desirable.</li><li>
Strong organizational skills, including follow-up, time management, ability to multi-task and manage multiple priorities in a fast-paced environment.</li><li>
Ability to positively communicate and interact with all hotel departments.</li><li>
Ability to grasp, lift and or carry, or otherwise, move goods weighing a maximum of 40 lbs.</li><li>
Ability to stand for long periods indoors with a thematically climate-controlled workstation.</li><li>
Study Hotels is a drug-free workplace. Pre-employment drug test and background check required.</li></ul> 
About Us
The Study at University of Chicago, the third property of the Study Hotels brand, is located on the Midway Plaisance in Chicago, Illinois.
The 167-room hotel features a full array of suites, including our signature Study accommodations, a 100 seat Restaurant/Tavern, 4,700 SF of banquet/meeting space including a 2,500 SF Winter Garden, specifically designed for social events, a state of the art fitness center. The hotel offers discovery and connection areas for purposeful guest interaction, including active gallery space, cultural programming, and unique touches such as custom writing desks complete with postcards to encourage guests to connect with family and friends - postage free. Guest rooms and public spaces are filled with natural light with a bright, uplifting palette of textures and natural materials, reflective of contemporary residential living.
Eligible full-time team members are offered a comprehensive benefits package including medical, dental, vision, life and disability insurances, paid time off, and paid holidays.
Study Hotels is an Equal Opportunity Employer and does not discriminate based on age, race, religion, disability, nationality, sex, sexual orientation, or any other category protected by federal, state, or local law.
Pa7Nsw2Rul</div>

Restaurant Host

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