Role Description We’re hiring an Explainable AI Engineer to build, integrate, and deploy our AI Engines and Agentic AI workflows. You’ll have an opportunity to learn from Stanford and Georgia Tech professors and work across algorithms and data pipelines to evolve our Explainable AI including: - Development of deep math features for the models, ML, and inferences - Automation of data wrangling and cleansing towards scalability - Aerospace grade V&V for mission critical functions using simulations - Explainable AI engine interfaces to data, human users, and Agentic AI Main Responsibilities: - Understand, develop, & support deep math analytics in Explainable AI Engines - Build, evolve, verify, and validate data processing pipeline segments - Support scalable deployment of the AI - Integrate Explainable AI with LLM tools for Agentic AI experience - Collaborate with the cloud software team and occasionally with customers - Document Explainable AI for customer users and internal software developers Qualifications - Experience with productized analytical applications - Experience building mission-critical applications as a part of a team - Hands-on skills in at least some of mathematical methods in: - Statistics - Bayesian estimation - Mathematical optimization - Decision and Control - Experience with MATLAB - Experience in Java and GitHub (Actions) - Solid experience writing technical documentation - Strong collaboration and communication skills - Bachelor’s Degree in Engineering or a related field - U.S. Citizenship Requirements - Model-based development / simulation-based verification - Operations Research - Supply chain and/or MRO in the aerospace industry - Building SaaS type applications - Shell scripting, Golang - Experience with GenAI and LLM augmentation (RAG) - An advanced degree Additional Information - US Citizenship Required: This position requires the ability to work with Controlled Unclassified Information for the Department of Defense. - A background check and a drug check may be required. - Location: This is a remote position. USA, Nationwide. Proximity to either our Palo Alto, CA or Atlanta, GA office may be a plus. - You will have an opportunity to start as a contractor (preferred; full-time or part-time, at least 10 hours/week), or a full-time employee.

About Equip Equip is the leading virtual, evidence-based eating disorder treatment program on a mission to ensure that everyone with an eating disorder can access treatment that works. Created by clinical experts in the field and people with lived experience, Equip builds upon evidence-based treatments to empower individuals to reach lasting recovery. All Equip patients receive a dedicated care team, including a therapist, dietitian, physician, and peer and family mentor. The company operates in all 50 states and is partnered with most major health insurance plans. Learn more about our strong outcomes and treatment approach at www.equip.health. Founded in 2019, Equip has been a fully virtual company since its inception and is proud of the highly-engaged, passionate, and diverse Equisters that have created Equip’s culture. Recognized by Time as one of the most influential companies of 2023, along with awards from Linkedin and Lattice, we are grateful to Equipsters for building a sustainable treatment program that has served thousands of patients and families. About the role The Peer Mentor I is responsible for working alongside a multidisciplinary care team to help people recover from an eating disorder. Peer Mentors focus on providing patients with rapport building, skill building, motivational interviewing, and practical support. Outside of patient sessions, Peer Mentors run support groups for patients and members of their support system, and take on additional tasks as needed. Peer Mentors are comfortable with, and passionate about, sharing their lived experience with eating disorder recovery with individuals currently in the process of treatment and recovery. Working Hours Working Hours - Monday - Friday, between 8am-8pm Central Time. Each work day is 8 hours, including lunch, breaks, and 2 late work days where your day starts later (10 AM) and also ends later (8 PM) in your patient population time zone. For example, we have Eastern Time, Central Time, and Pacific Time therapists. If you are hired as an Central Time Peer Mentor, your hours will be in Central time, given the majority of your patients will live in Central Time. Or if you are hired in Mountain Time and the majority of your patients are in Pacific Time your hours will be in Pacific Time. Responsibilities - Maintain an up-to-date calendar with availability to enable patients to book sessions. - Meet with patients for virtual sessions, tailoring session content to the patient’s unique needs, actively listening, and holding space for patient experiences. - Co-facilitate support groups for patients and their supporters. - Practice responsible self-disclosure, drawing from lived experience to an appropriate degree. - Consistently complete thorough and timely documentation according to Equip standards for other providers to access, review, and reference. - Attend and participate in various internal meetings. - Participate in initial and ongoing training as assigned. - Perform other duties as assigned. Qualifications - Lived experience with eating disorder recovery with the ability to identify as being in a solid space of recovery from an eating disorder. - 2+ years of experience working directly with patients in a care setting including, but not limited to, mentorship, social work, or milieu therapy. - Passion for helping patients and their families as they navigate eating disorder treatment. - Ability to connect with a range of diverse patients with varying diagnoses and degrees of acuity. - Passion for evidence-based care and treatment as well as an ability to learn, practice, and continuously develop skills such rapport-building and motivational interviewing. - Strong oral and written communication skills with the ability to build effective, professional, and collaborative relationships both internally and externally. - Strong organizational and time management skills with a proven track record of meeting assigned goals. - Strong attention to detail. - Comfortable working with and learning new technologies. - Comfortable working in a remote environment including the requirement to be on camera. - Comfortable with ambiguity and ability to think critically to quickly and accurately work through challenges in a fast-paced, fluid environment. - Ability to work 2 evenings per week until 8pm local time. Benefits Time Off: - Flex PTO policy (3-5 wks/year recommended) + 11 paid company holidays. Medical Benefits: - Competitive Medical, Dental, Vision, Life, and AD&D insurance. - Equip pays for a significant percentage of benefits premiums for individuals and families. - Maven, a company paid reproductive and family care benefit for all employees. - Employee Assistance Program (EAP), a company paid resource for mental health, legal services, financial support, and more! Other Benefits Loan Repayment: - $500/quarter for employees under a year of tenure. - $1,000/quarter for employees over a year of tenure. Continuing Education: - Robust training in evidence-based treatments for eating disorders, including Family-Based Treatment, Enhanced Cognitive Behavioral Therapy, and Cognitive Behavioral Therapy for ARFID. Comparable training workshops and supervision in these modalities are valued over $3,000. - For therapists and medical providers, unlimited online courses through NetCE. - For all providers, up to $1,000/year stipend for continuing education. - Opportunities to attend team onsites and conferences at various locations throughout the US. HEALer Circle - Access to bi-monthly Clinical & Community Consult Groups and Discord community run by Project HEAL in support of providers treating eating disorders. Work From Home Additional Perks: - $50/month stipend added directly to an employee’s paycheck to cover home internet expenses. - One-time work from home stipend of up to $500. Physical Demands Work is performed 100% from home with no requirement to travel. This is a stationary position that requires the ability to operate standard office equipment and keyboards as well as to talk or hear by telephone. Sit or stand as needed. At Equip, Diversity, Equity, Inclusion and Belonging (DEIB) are woven into everything we do. At the heart of Equip’s mission is a relentless dedication to making sure that everyone with an eating disorder has access to care that works regardless of race, gender, sexuality, ability, weight, socio-economic status, and any marginalized identity. We also strive toward our providers and corporate team reflecting that same dedication both in bringing in and retaining talented employees from all backgrounds and identities. We have an Equip DEIB council, Equip For All; also referred to as EFA. EFA at Equip aims to be a space driven by mutual respect, and thoughtful, effective communication strategy - enabling full participation of members who identify as marginalized or under-represented and allies, amplifying diverse voices, creating opportunities for advocacy and contributing to the advancement of diversity, equity, inclusion, and belonging at Equip. As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability, weight, and/or any other legally protected classification protected by federal, state, or local law. Our dedication to equitable access, which is core to our mission, extends to how we build our "village." In line with our commitment to Diversity, Equity, Inclusion, and Belonging (DEIB), we are dedicated to an accessible hiring process where all candidates feel a true sense of belonging. If you require a reasonable accommodation to complete your application, interview, or perform the essential functions of a role, we invite you to reach out to our People team at accommodations@equip.health. #LI-Remote

Role Description AI/ML Engineers at Mayo Clinic play a pivotal role in the union of data, systems, and computer sciences. They work closely with a multidisciplinary team to develop and deploy effective, efficient, and ethical AI/ML solutions into clinical practice to enhance patient care and operational efficiency. As a Senior AI/ML Engineer, you may work on the full spectrum of the AI life cycle from ideation to production. You will leverage advanced techniques in AI/ML to analyze vast amounts of healthcare data to develop AI solutions that meet clinical needs and are integrated smoothly into clinical processes. Your expertise will also extend to facilitating consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines. - Leading component design, development, integration, and standardization to create AI-driven solutions that seamlessly integrate into clinical practice to enhance patient care and clinic operations. - Collaborating with a multidisciplinary team, including clinicians, user experience designers, product managers, and IT professionals, to understand user needs, workflows, and clinical requirements. - Translating user feedback and requirements into design concepts and usability specifications for AI solutions. - Leveraging machine learning techniques such as deep learning, natural language processing, and computer vision to lead the design, development, and deployment of end-to-end AI solutions for healthcare applications. - Establishing evaluation methodologies and performance metrics to assess AI solutions' effectiveness, usability, and impact in real-world healthcare settings. - Explaining data analysis results to guide strategic choices and clarify complex insights for non-technical users. - Overseeing the engineering of systems crucial for developing and deploying AI solutions. - Facilitating consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines. - Contributing to implementing the best practices and standards for AI development and deployment methodologies, tools, and platforms. - Providing mentorship, guidance, and technical leadership to junior engineers within the AI enablement team. - Providing consultative services on areas of expertise to clinical work units or AI product teams. - Providing training and education to healthcare staff on AI tools and technologies. - Contributing to developing new AI methods and technologies that can advance the state-of-the-art in healthcare AI. Benefits - Medical: Multiple plan options. - Dental: Delta Dental or reimbursement account for flexible coverage. - Vision: Affordable plan with national network. - Pre-Tax Savings: HSA and FSAs for eligible expenses. - Retirement: Competitive retirement package to secure your future. Company Description Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans to take care of you and your family, now and in the future. Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives.

• Lead online class sessions of approximately 300-450 college students, supporting students in achieving learning objectives • Review course material and plan for lessons to be highly engaging and industry relevant, with CodePath provided curriculum • Work with the Program Manager to oversee the course and work with other co-instructors as needed • Participate in syncs with instructors and teaching assistants leading up to the start of the course, as an onboarding and to make sure instructors feel well prepared to run effective sessions during the program • Use course feedback to implement course improvements and propose curriculum changes that ensure KPIs are met • Participate in check-ins with instructors during the course, optionally shadowing some of the other instructor’s sessions, to provide instructors feedback