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Location: Bellevue Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? Your Mission At UiPath, we believe the next generation of software won't simply automate tasks—it will reason, plan, adapt, and act autonomously. As a Principal Applied Scientist, you'll help invent that future. You will lead the research and development of frontier AI systems that combine foundation models, multimodal reasoning, agentic workflows, and post-training techniques to build autonomous software capable of operating enterprise applications like a human. This is an individual contributor leadership role for scientists who enjoy building. You'll work at the intersection of applied research and production engineering—designing new algorithms, training and evaluating large models, developing novel post-training methods, and shipping systems that reach enterprise customers. If you're passionate about pushing the limits of LLMs, multimodal models, reasoning, planning, tool use, and AI agents—and you enjoy transforming research into products—this is the role for you. About the Team Our Advanced Machine Learning organization is building large multimodal foundation models capable of understanding enterprise software, reasoning over complex workflows, planning long-horizon tasks, and autonomously interacting with digital systems. Our work spans: - Foundation models - Agentic AI - Multimodal reasoning - Reinforcement learning - Post-training - Model alignment - Evaluation systems - Enterprise AI agents Our mission is to advance practical general intelligence for enterprise automation. What You'll Do - Lead research and development of large-scale foundation models and agentic AI systems for enterprise automation. - Design novel approaches for post-training, model alignment, reinforcement learning, preference optimization, and synthetic data generation. - Develop scalable evaluation frameworks that measure reasoning, tool use, planning, and autonomous task completion. - Build production-quality AI systems that combine LLMs, multimodal models, retrieval, planning, memory, and external tool use. - Drive innovations in long-context reasoning, workflow generation, autonomous software interaction, and multi-agent orchestration. - Design large-scale experiments, analyze model behavior, and iterate using data-driven evaluation. - Collaborate closely with engineering and product teams to transition research into production systems. - Mentor scientists and engineers while raising the technical bar across the organization. - Influence UiPath's long-term AI strategy through technical leadership and scientific innovation. What We're Looking For We're looking for scientists who have successfully taken frontier AI research from idea to production. The ideal candidate has deep expertise in several of the following: - Foundation model training - LLM post-training - Reinforcement Learning from Human Feedback (RLHF) - Preference optimization (DPO, PPO, GRPO or similar methods) - Reward modeling - Synthetic data generation - Model evaluation - Agentic reasoning - Tool use - Function calling - Long-horizon planning - Multimodal learning - Retrieval-Augmented Generation (RAG) - Distributed training and inference - Large-scale PyTorch systems - Model alignment and safety Preferred Experience - PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Robotics, or a related discipline. - Significant experience building and deploying production AI systems based on large language models or multimodal foundation models. - Demonstrated ownership of end-to-end ML systems—from research and experimentation through production deployment. - Strong programming skills in Python and deep experience with modern ML frameworks such as PyTorch. - Experience training or fine-tuning large models using distributed compute infrastructure. - Strong publication record or demonstrated technical leadership in applied AI is highly valued. - Excellent communication skills and the ability to influence technical direction across organizations. Technologies We Work With While experience with every technology is not expected, many members of our team work with: - PyTorch - JAX - CUDA - vLLM - Ray - DeepSpeed - FSDP - Triton - LangGraph - Semantic Kernel - MCP - Vector databases - Kubernetes - Azure AI - Hugging Face - Distributed GPU training infrastructure You'll Thrive Here If You... - Love building AI systems—not just publishing papers. - Enjoy tackling ambiguous, first-principles problems. - Are excited by rapidly evolving research. - Think deeply about evaluation as much as modeling. - Care about elegant engineering as much as novel algorithms. - Want your research to power products used by millions of people. #LI-MH1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Des Moines, IA; Lincoln, NE; Little Rock, AR; North Kansas City, MO; Omaha, NE; Overland Park, KS; St. Louis, MO Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description As a Telecom CAD Technician with our Telecom BAU and Long-Haul group, you will support engineering and design activities associated with expanding and maintaining telecommunications network infrastructure. You will assist with the preparation of fiber optic design plans, permit exhibits, engineering drawings, and project documentation while working closely with engineers, project managers, designers, and permitting staff. In this role, you will review and incorporate field data, redlines, GIS/KMZ files, utility information, survey data, and client requirements into accurate CAD deliverables. You will help prepare permit plan sets and supporting exhibits for agency approvals and support quality control reviews to ensure drawings meet client and Olsson standards. Successful candidates will be detail-oriented, organized, and interested in developing a career in telecommunications engineering and design. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. Learning new technical skills and design standards Producing high-quality, accurate CAD deliverables You bring to the team: Strong communication and organizational skills. Ability to contribute and work well on a team. 1-3 years experience with CAD-related software (AutoCAD experience required). GIS-related software experience (ESRI product experience preferred but not required). Associate degree in a related field or equivalent experience preferred. Experience with Microsoft Word and Excel; Bluebeam and Smartsheet experience are a plus. Ability to read and interpret engineering markups, maps, utility records, survey information, and GIS/KMZ data. Attention to detail and commitment to producing accurate plan sets and exhibits. Olsson CAD Personnel Expectations: Produce accurate and organized CAD drawings with minimal drafting errors. Follow Olsson and client-specific CAD standards, templates, layer management requirements, and file organization procedures. Prepare and revise telecommunications plan sheets, permit exhibits, alignment drawings, right-of-way exhibits, and engineering design documents. Incorporate redlines and quality control comments in a timely and accurate manner. Communicate proactively when information is missing or clarification is needed. Maintain awareness of project schedules, priorities, and deliverable deadlines. Continuously develop proficiency in telecom design standards, permit requirements, GIS/KMZ workflows, and CAD software applications. Support BAU and long-haul fiber projects through the preparation of clear, accurate, and well-organized engineering plan sets. #LI-DNP Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Location: Espoo Workplace: OnSite Role highlights: - Location: Espoo, Finland - Department: Global Manufacturing Organization - Reports to: Manager, Logistics Management - Employment type: Permanent - Workplace model: On-site (Cleanroom) - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As an Electronics Verification Technician, you are a critical part of the highly international manufacturing team specifically responsible for ensuring every PCBA functions flawlessly before assembly. Reporting to the Electronics Verification Team Lead, embedded within the Logistics and QC Department, you will work in a clean area with ESD sensitive devices and classified information, operating test stations, high precision equipment, verifying electronic board assemblies, performing visual inspections, troubleshooting failed tests and providing immediate feedback to prevent defects from moving down the assembly line. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1,000 employees across Poland, Spain, Germany, the UK, Australia, Japan, the UAE, Greece, and the US. Read more about our latest financial results and growth https://www.iceye.com/newsroom/press-releases/scaling-sovereign-intelligence-from-space-iceye-announces-2025-financials-250m-revenue-100m-profitability-and-1.5b-backlog?hs_preview=VihREVTI-209111858013&hsLang=en. Your day-to-day responsibilities - Conduct visual inspections, electrical verifications, and basic mechanical tests as well as quality checks during incoming operations of electronic parts, mechanical parts, commercial off-the-shelf (COTS) items, and subsystems to ensure compliance with specifications; - Update material status in the ERP and MES system, Record inspection results and maintain accurate, audit-ready, documentation; - Report non-conformances, support root cause analysis activities, contribute to the implementation of corrective and preventive actions across production and the supply chain, communicate persistent assembly errors to the production lead; - Perform real-time visual and mechanical inspection of SMT and Through-Hole assemblies to IPC-A-610 and J-STD-001 standards. - Flash firmware and bootloaders onto microcontrollers, troubleshoot test failures in real-time, identifying whether the issue is a component failure, soldering defect, or test fixture error. - Occasionally perform minor rework on non-conforming boards to keep production flowing. - Ensure inspection tools and equipment are properly calibrated and maintained; - Monitor inspection, logistics, production, storage, and laboratory environments to ensure compliance with safety and quality standards to support consistent manufacturing operations. What we’re looking for Must haves: - Strong background in Electronics, Mechatronics, Testing, or related fields, with computer literacy in Jira, Confluence, MES Systems, Linux, and with programming knowledge in Python, CSV, Bash, etc. - Direct hands-on experience in the use of complex electronic measurement tools, oscilloscopes, multimeters, bench power supplies, VNA, test jigs, etc. - Conversational level of spoken and written English. - Degree, diploma or applicable certifications: Master of Science in Engineering (MSc) recently graduated, Engineer, Advanced university student, Bachelor with a minimum of 2 years of experience in similar environments, or 5 years of proven enthusiastic experience, IPC-A-600, IPC-A-610, J-STD-001, ESA/ECSS. - Experience with basic hand-soldering rework tools. - Ability to coach peers constructively on the production floor. Nice to haves: - Knowledge of industrial practices, non-conformance reporting, root cause analysis, calibration requirements, ESD, manufacturing workflows, . - Strong ability to read PCB assembly drawings, Bill of Materials (BOMs), schematics and trace circuits to find shorts or open connections and defect recognition (polarity, bridging, cold joints, missing components). - Experience in mechanical inspection of individual parts and assemblies. - Exposure to Assembly, Integration and Tests environments of Satellite Hardware. Application Process - Recruiter call - Hiring Manager interview - Technical task - Team interview - Final interview Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and work with us at iceye.com http://iceye.com.

Location: Dubai, United Arab Emirates Comprehensive Position Overview: Role Function: The Duct Fabricator plays a critical role within the Mechanical, Electrical, and Plumbing (MEP) and HVAC divisions, converting engineering specifications into structural duct systems required for proper air distribution, ventilation, and climate control across commercial, residential, and industrial facilities. Operational Environment: Works primarily within off-site sheet metal workshops, pre-fabrication yards, or dedicated on-site fabrication areas alongside mechanical engineers, quality control inspectors, and assembly teams. Detailed Technical Responsibilities: Pattern Development & Material Selection: Analyze complex HVAC shop drawings, cut sheets, and Bill of Quantities (BOQ) to perform accurate material take-offs. Lay out, stretch, and develop patterns for custom sheet metal fittings—including offset transitions, bullhead tees, square-to-round adapters, and fire damper casings—minimizing material scrap. Select appropriate sheet metal gauges (typically 18 to 26 gauge GI or specialized PI panels) based on system static pressure classifications and airflow parameters. Precision Fabrication & Assembly Procedures: Cut sheet metal accurately using foot shears, hand snips, and automated plasma cutting tables. Form joint edges, standing seams, drive cleats, Pittsburgh locks, and snap locks using specialized roll formers and folder machines. Assemble duct sections securely using spot welding, riveting, self-tapping screws, or specialized mechanical clinching techniques. Insulation & Cladding Application: Measure, cut, and apply internal or external insulation materials, including fiberglass insulation board, elastomeric rubber (Nitrile), and rockwool. Secure insulation with mechanical fasteners, stick pins, and high-performance spray adhesives, applying aluminum foil vapor barrier tape to guarantee airtight thermal protection. Fabricate weather-proof metal cladding (Alu-Zinc or Aluminum) for external, rooftop ductwork installations exposed to extreme desert conditions. Quality Standards & Testing Protocols: Verify cross-sectional dimensions, diagonal alignment, and flatness tolerances before dispatching finished units to the installation crew. Execute light testing and pressure-drop/air-leakage testing per SMACNA (Sheet Metal and Air Conditioning Contractors' National Association) or DW144 guidelines. Ensure all fabricated assemblies comply with local authority civil defense regulations (e.g., Dubai Civil Defense fire-rated duct requirements). Requirements Formal Technical Education: Industrial Training Institute (ITI) Certificate, Vocational Trade Diploma, or Technical High School Certificate specializing in Sheet Metal Working, Mechanical Trade, or Fitting. Demonstrated Technical Expertise: Minimum of 3 to 5 years of verified experience in high-volume HVAC duct production within the UAE or wider GCC region. Practical knowledge of sheet metal bend allowances, stretch-outs, and seam allowances. Familiarity with SMACNA, DW144, ASHRAE, and Dubai Municipality green building code specifications. Soft Skills & Operational Attributes: Strong spatial reasoning skills to visualize 3D objects from 2D orthographic engineering plans. Strict commitment to occupational health and safety (HSE) standards, including the consistent use of Personal Protective Equipment (PPE) such as cut-resistant gloves, ear protection, and safety boots. Ability to perform physical labor involving heavy lifting, extended standing, and operating vibrating machinery. Benefits Competitive salary; Official UAE employment status; Comprehensive medical insurance coverage; Working schedule 6 days per week from Monday to Saturday and Sunday is off.

Location: Aberdeen Proving Ground, Maryland Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position Dexis is seeking a Computer Operator V (Leader) to support a large-scale Army test and evaluation program. The project provides data collection, technical writing, computer operations, range scheduling, and administrative support services necessary to execute the government's test mission. Support encompasses testing of a wide variety of automotive, combat, electronic, general equipment, and ordnance materiel, with services including data collection and coordination, data compilation and processing, development and management of data collection forms, test monitoring, technical writing and editorial review, reporting, data and software administration, range scheduling, and related operational support. The Computer Operator V (Leader) will provide senior technical and operational leadership for computer operations supporting test execution and data management activities. The role will support functional users, manage complex electronic data-entry and reporting requirements, troubleshoot data systems and software, and provide technical guidance and training to computer operations personnel and other users. Work will be performed primarily onsite in Aberdeen, Maryland, with travel to other locations within the Continental United States (CONUS) and Outside the Continental United States (OCONUS) as required by mission needs. This position is contingent upon contract award. Responsibilities Support functional users of computer systems by accepting processing requirements and directing program execution of requirements. Assist government leadership with project control and workload scheduling. Set up, maintain, and recommend improvements to customized electronic data-entry forms for complex test projects. Use web-enabled data management systems such as ODIN and VDLS to track and monitor data flow. Use reporting tools such as Cognos to query databases and produce professional reports based on user requirements. Monitor daily data flow to identify errors or anomalies and coordinate corrective action. Work with users and representatives of other test agencies to develop requirements related to systems under test. Determine whether requirements require new software or enhancements to existing programs. Coordinate with database administrators and provide technical assistance in the use of database management software. Assist in developing user guidance, including handbooks, training manuals, and operating instructions, and identify opportunities to streamline existing procedures. Troubleshoot ODIN and other applicable software applications. Provide technical assistance to lower-level computer operators, government personnel, contractors, and personnel from other test agencies in resolving database and software issues. Conduct or participate in briefings, software training, meetings, and conferences. Support maintenance and repair of laptop computers, ensure warranty procedures are followed, and issue required laptops to personnel before assignments. Operate in Secret environments in accordance with applicable security procedures and regulations when required. Qualifications Must meet one of the following education and experience combinations: (1) Bachelor's degree in Computer Studies or a related field such as Information Technology, Information Management Systems, or Computer Technology and six (6) years of experience; (2) Associate's degree in Computer Studies or a related field and eight (8) years of experience; or (3) ten (10) years of experience using data-entry software tools in a Windows environment and industry-standard reporting tools such as IBM Cognos, Microsoft Access, or Crystal Reports. Minimum of five (5) years of leadership experience. Must possess an active Secret security clearance. Must possess a high school diploma. Must be proficient in speaking, reading, writing, and understanding English. Must be able to communicate clearly and concisely, both orally and in writing. Must be proficient in the use of computers and Microsoft Office software. Must be able to meet the physical requirements necessary to perform assigned functions, which may include working in extreme heat or cold, high humidity, blowing sand and dust, confined spaces, at heights, and walking distances over unimproved terrain while wearing required personal protective equipment (PPE). Must be available to support work outside normal duty hours when required by mission needs. Must be willing and able to travel within CONUS and OCONUS as required. Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $80,000 — $152,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: Remote; Seattle, WA; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across North America and London — we also have offices in NYC, San Francisco, Seattle, and London. We’re building a tool that makes content creation easy and accessible for all types of creatives. Our users love it. Runway has an actively engaged and growing community of passionate artists and creators worldwide. And we’re growing our support team to ensure we can continue to provide delightful experiences for our users every day. We're looking for creatives at heart that can pick up new tools fast, hold up under high ticket volume without losing quality and identify solutions vs. just clearing the queue. If that's you, read on! WHAT YOU’LL DO - Work through a high volume of inbound support tickets across Free, Standard, Pro and Unlimited plans with speed and accuracy - Handle escalations from our AI support layer with sharp judgement on what needs a human and what doesn't - Identify patterns across tickets and proactively surface them to the product team- not just reporting, but also offering thoughtful recommendations based on what you're seeing - Help identify opportunities to maintain or build self-service content: help docs, short-form videos, FAQs, etc. - Engage with the Runway community on Discord and other forums - Contribute directly to process improvements and automation, including building things yourself when the opportunity is there - Triage complex technical issues for escalation to Enterprise support - Live troubleshoot within the Runway platform as needed WHAT YOU’LL NEED - You're already comfortable in tools like Notion, Slack, Zendesk (or similar), Google Workspace and AI platforms - Strong written communication: clear, direct, and thoughtful at volume - A learn-by-failing mentality, when you hit something unfamiliar, you have an experimental mindset - Natural curiosity about how products work, why users get confused, and what could be done better - Comfort managing your own work in a fast-moving environment- high ownership and high autonomy - Data driven mindset: you notice patterns and know how to communicate them - 1-3 years in customer support, operations, or technical role - Expertise and/or interest in the creative space, AI or both - Genuine interest in AI, creative tools or both WHAT SETS YOU APART The most successful people in this role don't just keep up- they set the pace. They move through 60, 80, even 100+ tickets in a day without letting quality slip. They're reading the queue, not just clearing it. They notice what keeps surfacing and do something about it, a message to product, a doc, sometimes something they built themselves. They show up with ideas no one asked for yet. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the Role: We are seeking an exceptional Applied Scientist to join our Applied Science team. In this role, you will design, develop, and deploy the algorithmic systems that power Garner's products and drive meaningful impact for our members. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund. What you will do: Own the most ambiguous, high-stakes problems on the team end-to-end, and serve as a technical resource others rely on Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for Find novel ways to frame and solve the team's hardest problems, proving out approaches that others build on Set the bar for quality by reviewing others' work with rigor, and build the standards and evaluation tooling the team relies on Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions. AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely. Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care. What we're looking for: 4+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 2+ years of industry experience with a relevant advanced degree, PhDs preferred A bias toward action, quickly translating ideas into working prototypes to test approaches Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them Deep technical range, with fluency across Garner's data and a habit of staying current with advances in the field Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem Strong communication skills and the ability to synthesize complex algorithmic ideas for senior and external stakeholders, and to secure buy-in for cross-team work A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you'll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target base comp range for this position is $200,000 – $230,000 . Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Applied Scientist III to join our Applied Science team. Garner is hiring Applied Scientists to design and ship the algorithmic systems at the core of our product. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Ship production algorithmic systems end-to-end, from problem framing to launch to iteration Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for Bring new ideas to your work, experimenting with approaches beyond the obvious to get better results Produce rigorous, well-validated work others can rely on, and review your peers' code and analyses Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions. AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely. Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care. What we're looking for: 2+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent advanced degree A bias toward action, quickly translating ideas into working prototypes to test approaches Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them A solid command of the methods your work calls for and the data your models depend on Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem Strong communication skills, with the ability to present your work clearly to senior stakeholders A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you'll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. This is a unique opportunity to work on high-impact search problems in healthcare, helping shape how members find better care through algorithmic systems that directly influence healthcare outcomes. Compensation Transparency: The target base comp range for this position is $158,000 – $190,000 . Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Europe; Canada; New York Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: At Cohere, we're pushing the boundaries of what these technologies can achieve for production environments, and we're seeking a senior engineer who understands the practical challenges of making AI systems work at scale. This role demands deep technical expertise in production environments and the ability to bridge research concepts with real-world implementations. This position is hands-on and engineering-driven. You'll focus on production systems, experiment with frontier models, and collaborate with talented engineers to build scalable, production ready solutions. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. We blend engineering and research seamlessly. Everyone contributes to both, depending on organizational needs. We provide access to world class compute resources, data, and talent to ensure you can do your best work. This role is perfect for you if you: - Have a deep passion for quality work. - Enjoy tuning and optimising large LLM models. - Comfortable working with people with different levels of software engineering skills, from beginner to more advanced. - Comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems. - Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions. Key responsibilities: - Design and write high-performing and scalable software for training models. - Develop new tools to support and accelerate research and LLM training. - Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.). - Research, implement, and experiment with ideas on our cluster and data infrastructure. - Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams! Qualifications: - Extremely strong software engineering skills. - Value test-driven development methods, clean code, and strive to reduce technical debts at all levels. - Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR. - Experience using and debugging large-scale distributed training strategies (memory/speed profiling). - Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray). - Experience in ML and LLM academic research. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: United Kingdom; Ireland, United Kingdom The Company Our client is a progressive global plastic recycling business with three distinct divisions: (1) Plastic Recycling; (2) Recycled Supply Chain Management; and (3) Recycled & Waste Plastic Feedstock. Their expert global team combine impressive technical knowledge and capability with a passion for recycling and the circular economy. Our client is passionate about transforming waste into a valuable commodity, buying, selling and recycling scrap plastic. Since our client started on their journey in 2005, they have developed a worldwide presence, serving hundreds of customers in over 50 countries. They have grown a strong, talented team who are highly trained, dedicated and loyal. They are headquartered in Hong Kong with operations and representation in Australia, Finland, Ireland, Turkey, Spain, Netherlands & UK. They operate a factory based in the UK specialising in the collection and recycling of plastic waste generated from industry and manufacturing. The Role You’ll ensure waste plastic materials meet the quality standards our customers rely on. This is a hands-on, field-based role where you’ll: Inspect materials at supplier sites and during loadings. Collect samples, perform tests, and analyse results. Identify risks, contamination, and quality issues. Work closely with commercial teams to protect customer outcomes. Travel 3–4 days per week and manage your own schedule. Requirements Knowledge (Education & Related Experience) At least 5 years of experience in Quality Assurance, Quality Control, Quality Inspector, Procurement, Inspection, or similar. At least 3 years of experience working in the field. Driving license required and able to travel overnight. Skills & Abilities Multilingual (fluent English is a requirement). Able to use logic and reasoning to appraise situations. Able to anticipate opportunities and risks. Able to build rapport quickly with colleagues and customers. Able to negotiate effectively with customers to maximise margins. Able to effectively collaborate with colleagues to achieve results. Able to manage and respond quickly to changing/competing priorities . Highly organized, able to independently plan own time. Able to follow internal procedure & policy (CRM, Admin, Trial Policies, Customer Onboarding). Able to present and clearly communicate information in speaking and writing. Able to ensure tasks are completed on time and to a high-standard. Able to use Excel, Outlook, Word and other MS Office products with high level of proficiency. Able to undertake effective research. You’ll Be Great If You Are: Hands-on and comfortable working in the field. Curious, investigative, and detail-oriented. Confident having tough conversations on quality. Organized and able to manage your own time. Driven to learn and grow in a fast-paced environment. Benefits Learn plastic recycling from the ground up. Extensive technical training (lab + field testing). Real career progression into commercial, technical, or training paths. Work in a growth industry with global exposure. High autonomy and responsibility from day one.

Location: Salt Lake City, Utah, United States About the Role iCapital is seeking a Client Delivery Specialist Associate to join the Automation team within the Data Solution department. This role will ensure a seamless flow of financial data for iCapital’s clients and internal teams. This individual will support business critical processes from portfolio management system conversions to performance reconciliation. This role offers the opportunity to contribute directly to our mission by ensuring the accuracy and integrity of our financial data. This person will be a part of a dynamic team focused on innovation and efficiency, working with cutting-edge technology to streamline client onboarding and reporting. Responsibilities Lead data conversion projects, including extracting, transforming, and loading (ETL) data between portfolio management systems. This involves understanding source system requirements, mapping data to new system standards, and managing the conversion of large datasets from legacy systems. Integrate historical financial data by converting potentially complex and unstructured data files and statements into structured formats suitable for backfilling. Provide support for automated data feeds, troubleshooting issues and ensuring the seamless transformation of daily financial transactions and positions into source system imports. This requires a strong understanding of the automated data processing system. Respond to ad-hoc data requests from client-facing teams, providing timely and accurate information. Qualifications Bachelor's degree with a concentration in finance, computer science, statistics, mathematics, data science, or a similar field 2-5+ years in the financial industry, demonstrating a proven track record of financial product support, technical proficiency, and solid accounting knowledge Expertise with Addepar and familiarity with other portfolio management systems, such as Advyzon, APX, Axys, Black Diamond, Orion, Ridgeline, Tamarac Strong background working with financial custodial data and proficiency supporting alternative financial instruments Advanced proficiency in Excel and text file manipulation.  Familiarity with other data formats, such as JSON, XML, and unstructured-to-structured transformation is a plus Experience with at least one of the following: Python, SQL, Power Automate or other large data set software, demonstrating the ability to extract and transform data Demonstrated history of automating data-related processes such as data integration, including log file creation and maintenance Understanding of Salesforce, Monday.com, Jira, and GitLab Comfort working with a geographically dispersed team Strong interpersonal verbal and written communication skills and comfortable communicating with clients as needed Achievement of, or working towards, an MS/MBA, CFA, CAIA, or CFP is a plus Benefits The base salary for this role is $75,000 to $85,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity,

Location: Cedar Rapids, IA As a full-service engineering, design, and construction services firm, Mi-Tech delivers comprehensive support for utility and infrastructure projects from planning and design through execution. Our multidisciplinary team provides practical, innovative solutions that emphasize cost efficiency, constructability, and long-term value. Founded in 1985, Mi-Tech has built a reputation for excellence in engineering, design, environmental, laboratory, technical, and field services across multiple industries. The 2026 merger with J.D. Hair & Associates further strengthened our capabilities and resources, adding decades of specialized expertise in trenchless, geotechnical, and structural engineering to our core offerings. As a proud member of the Michels Family of Companies, Mi-Tech collaborates with an internationally respected team to deliver integrated, end-to-end engineering, design, and construction solutions that meet the highest standards of quality and performance. The Utility Construction Inspector is responsible for inspecting and monitoring utility construction projects involving natural gas, electric, telecommunications, and municipal infrastructure. This position ensures all construction activities comply with safety regulations, approved plans, specifications, and applicable federal, state, local, and company standards. The inspector serves as a third-party representative of the utility or facility owner and plays a critical role in protecting public safety, infrastructure integrity, and project quality. Why Mi-Tech, Services Inc.? We are committed to hiring the best people and giving them the best equipment We are dedicated to the improving energy distribution & telecommunication services Our steady, strategic growth revolves around a commitment to quality We are family owned and operated We invest an average of $5,000 per employee on training each year We believe everyone is responsible for promoting safety, regardless of job title We are a part of the Michels Family of Companies – one of North America’s largest, most diversified energy and infrastructure construction companies Why you? You like to surround yourself with dedicated, value-driven people You are up to new challenges and opportunities You cringe when you hear: “Because that’s the way we’ve always done it.” You like to know your efforts are noticed and appreciated You believe that individual commitment to a group effort is key to success You want your work to make a difference in people’s lives What it takes Experience or knowledge in natural gas, electric, telecommunications, or municipal utility construction is preferred, but not required. Strong understanding of utility safety practices, excavation standards, and damage prevention requirements. Ability to read and interpret construction plans, specifications, and utility maps. Comfortable working independently in the field and navigating multiple locations daily. Proficient with mobile technology and electronic reporting systems such as ArcGIS -Survey123 and/or Field Maps is preferred, but not required. Experience with GPS instruments such as Trimble and/or Topcon preferred but not required. Be open to traveling Statewide AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Lomira, WI Michels Road & Stone, Inc. is shaping the future. We provide and place materials for road, airport, grading, storm sewer and pipe, and concrete projects. Our projects are large; the tolerance for error is tiny. Our leaders, field crews and massive fleet of specialized equipment is focused on excellence. Are you? Our work improves lives. Find out how a career at Michels Road & Stone, Inc. can change yours. As a Concrete Quality Control, you will m anage project quality requirements in civil and structural construction. Responsibilities include daily quality control reporting, subcontractor management, submittal management, conducting quality phase meetings and frequent field quality control inspections aimed at preventing contract non- conformance. You will be responsible for know ing the schedule and estimate strategy , along with e nsur ing the quality management systems are properly integrated to provide the most efficient and goal-oriented program possible . You wil l lead the Project Management team in the preparation of technical project submittals ensuring the completeness and quality of every submittal . You will be a champion of Quality Control with continuous improvement throughout the project and company Why Michels Road & Stone, Inc.? We will never ask you to prioritize speed ahead of safety We are family owned and operated We invest an average of $5,000 per employee on training each year We share experience and insights to develop industry leaders We are a part of the Michels family of companies – one of North America’s largest, most diversified energy and infrastructure contractors We offer a comprehensive benefits program, including Health, Dental, Life, Flexible Spending Accounts, Health Savings Account, Short Term and Long-Term Disability Insurance, 401(k) plan, Legal Plan, and Identity Theft and Monitoring Plan.  Depending on your positions and location you may participate in a different benefit plan Why you? You accurately collect, process, and analyze data to effect decision making actions. You will build and maintain professional relationships with clients   This also includes coordination with Project Managers and superintendents to ensure timely submission of daily reports. You create clear and concise reports/documents on project Quality performance measurables, including rework costs, submittal management, non-conformance reports, etc. You use this data to drive continuous improvement and enhance efficiency with procedures and systems. You study all aspects of the contract, specifications, addendum, pre-bid information, and plans. You maintain the project Defects Report/Log and timely generate accurate reports on actions and trends. You conduct and accurately document QCM led project meetings, timely record, and issue and distribute the meeting minutes. You coordinate the inspections and testing of project requirements from the specifications and project Testing and Inspection Log. This includes ensuring the availability of adequate testing personnel, equipment and laboratory compliance. You ensure activities and actions (i.e., submittals, work plans, schedules, pre-construction meetings with clients) are conducted in a timely manner to ensure an effective project startup in addition to reviewing specifications to know the client  requirements for deliverables. You review the specifications and know the client expectations for deliverables. You ensure compliance through in-depth reviews of the project documents. You review test methods and procedures with in-house technicians and subcontractor labs as needed. You discuss the requirements with the Superintendent to ensure all testing is performed according to the proper procedures and all the data is properly collected. You ensure incoming products and materials are acceptable (i.e., specification, grade, timeliness). You initiate, communicate, and track non-conformance corrective actions. Discusses resolution ideas with the project team and properly dispositions. You comply with safety procedures/policies and addresses and/or elevates non-compliance among all employees, subcontractors, and vendors. Other duties as assigned. What it takes: 1-5 years in concrete airfield construction inspection as QA/QC or Project Management. Ability to obtain ACI Concrete Transportation Construction Inspection Certification Ability to travel throughout the United States Ability to work independently Ability to work 6 weeks on and 1 week off rotations for projects. Experience with submittal management. Strong attention to detail and time management skills. Ability to read and understand contract drawings and specifications. Strong verbal and written skills. Proficient in Microsoft Suite (Excel, PowerPoint, Outlook, Word, etc.) AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We're looking for an experienced Senior Engineering Manager to lead our Media Ranking teams. In this role, you’ll lead a high-impact team of Machine Learning Engineers dedicated to improving relevance, personalization, and discovery of the core product. Reddit is investing big on making media (video and audio) as the core components of our experience around which conversations happen and users connect with the community. Your work will directly shape the personalized experiences of over 120M+ daily users. Responsibilities: Define Technical Vision & Strategy: Define the technical vision and long-term roadmap for Feed Relevance, aligning cutting-edge ML solutions with Reddit’s product and business objectives. Team Leadership & Development: Coach and support the development of your team, constantly seeking opportunities to grow their skills and impact. Cross-Functional Partnership: Work with cross-functional partners from across the company to identify key areas of opportunity, set expectations, and communicate your team’s work. Technical Execution & Delivery: Oversee the design, development, and optimization of sophisticated relevance, discovery, and content distribution systems. Platform & Infrastructure Collaboration: Collaborate with platform and infrastructure teams to chart a path to the next generation of AI-powered solutions for Reddit. Operational Excellence: Maintain high standards for system performance, reliability, and efficiency in alignment with customer needs and responsible AI principles. Recruiting & Growth: Partner with our incredible recruiting team to attract, interview, and hire diverse and talented machine learning engineers, growing a world-class team. Qualifications: Experience Leading ML Teams: 5+ years of experience building and managing high-performing ML teams. Deep ML Expertise: Hands-on experience with large-scale production ML systems, including transformer-based architectures, sequence models, or Large Language Models (LLMs). Technical Domain Knowledge: Strong understanding of recommender systems, including candidate retrieval, ranking, value modeling, ecosystem dynamics, and measurement strategies. Strategic Thinking: Ability to develop and communicate a clear, compelling technical strategy that supports broader company objectives and addresses the needs of internal customers. Impact-Driven Mindset: Passion for developing scalable, well-designed, and responsible AI solutions that drive business value. Exceptional Communication & Collaboration: Strong interpersonal skills and a collaborative mindset, with the ability to effectively communicate complex technical topics to diverse audiences and build strong relationships with cross-functional partners. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-remote, #LI-JS5 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $266,000 — $372,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

«AI in Product Management» курсы Нөлден бастап 6 айда Product Manager мамандығын меңгересіз. Әр модульдің негізінде — ЖИ құралдары: зерттеу, аналитика, гипотеза тексеру, өнім стратегиясы. Курсты аяқтағанда портфолиоңызда нақты жоба болады. 26 апта / 156 академиялық сағат Толығымен қазақ тілінде Онлайн (Zoom) — Қазақстанның кез келген нүктесінен Алдыңғы IT тәжірибесі қажет емес Маңызды шарт: Оқуға кірісу үшін 100 000 ₸ кепілдік жарна қажет. Курсты толық аяқтағаныңызда — толығымен қайтарылады. Бұл сіздің оқуды аяқтауға деген жауапкершілігіңіздің кепілі. Қалай өтуге болады: 1. WhatsApp-қа «ГРАНТ» деп жазыңыз 2. Маманымыз astanahub.com-да ЭЦП арқылы тіркелуге көмектеседі 3. Анкета толтырып, Docker Academy-ге өтінім бересіз Өтінім қабылдау мерзімі — 7 қыркүйек. Орын саны шектеулі.

Location: Houston, Texas; Phoenix, Arizona; Dallas, Texas; Austin, Texas; San Antonio, Texas; Tucson, Arizona; Atlanta, Georgia; Orlando, Florida; Tampa, Florida; Jacksonville, Florida; Columbus, Ohio; Raleigh, North Carolina; Charlotte, North Carolina; Indianapolis, Indiana Workplace: remote Overview: Are you a web-savvy, search expert with a talent for finding things online by using just a few words? Do you want to influence the future of global AI search? If so, we want you on board! Working on behalf of RWS, you will test and evaluate how our clients’ search engine responds to everyday searches from everyday people. Using your search expertise, you will work through a variety of assignments playing a crucial part in enhancing AI data which will be used to improve the online search engine experience of our clients’ users.   You: - Inquisitive by nature with a real interest in AI. - Have excellent skills in online research. - Enjoy working in a fast-paced environment. - Continually maintain quality and accuracy SLAs. - Have the self-discipline to stick to a schedule and get the work done despite the potential distractions of a home office. - Be a critical thinker with ability to analyze information and assess its relevance or significance. Quick overview of the flexible, part-time job:   Language: English. Location: United States - not all states eligible - (Work from Home). Schedule: E.g. 8-20 h/week. Avg. 15 h/weekly. Pay: Starting at 15,75 USD/hour.   Who Should Apply: Ideal for freelancers, students, stay-at-home parents, or anyone seeking flexible remote work to improve AI models. No previous experience is required.   Role Description: Join RWS Group as an evaluator to enhance search engine results. Provide feedback on text, audio, images, and videos to refine AI data used by major search engines, social media sites, streaming platforms and more. Growth Opportunities: High-performing raters may have the opportunity to qualify for more difficult tasks and projects, which are compensated at higher rates. Requirements Currently reside in the United States . Strong understanding of popular culture in your locale (United States). Commit to a minimum of 10 hours per week, maximum of 20 hours per week. Must sign and adhere to project NDA. Have a smartphone and personal computer with reliable internet connection. Reliable antivirus software to protect your computer as you surf the web. Must pass training modules and a required test created by our client before commencing work. Only one AI Data Quality Rater per household. Must be 18+ years old. Kindly note that candidates cannot be engaged with RWS as both a payroll employee and a freelancer/independent contractor within the same calendar year due to legal and compliance requirements. Additionally, we recommend you provide the Equal Employment Opportunity Information requested at the end of your application as it is required by US law. Vendor Type   When applying, please select the option that best describes your working status.   Are you a Freelancer or Private Individual? A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to registered businesses in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren’t sure, you are probably a private individual.   #LI-PR15 RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Manager, Product Applied Science to build and lead a team at the core of Garner's product. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is a hands-on management role. You are responsible for the overall technical direction of your squad, building alongside your team of Applied Scientists to solve some of the hardest problems at the company. This is not a dashboards or descriptive-analytics team. Your team owns production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is leading a research pod at a top hedge fund. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Lead a team of 4-6 — hire, coach, and develop them, hold the bar on both rigor and speed, and help raise that bar across Applied Science Own the Population Health team and their outputs as a core responsibility Own your team's roadmap and delivery: what gets built, in what order, and whether it ships Set technical direction, and get in the weeds to do it — stay close enough to the code and the data to call the approach yourself, whether that's machine learning, optimization, a heuristic, or a simple rule, and set the standard for how your team makes that call Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship Put your own hands on the problems where your judgment matters most — the highest-stakes, least-defined work — and deliver the algorithmic step-changes that move metrics like total-cost-of-care savings, steerage, and member engagement Turn ambiguous business goals into a clear problem set alongside Research, Product, Engineering, and business stakeholders, and represent your team's work to senior leadership Set the quality bar: review your team's work with rigor, and define the metrics that decide whether a solution is working Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions. AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely. Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care. The ideal candidate has: 6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant advanced degree, PhDs preferred Deep technical credibility, with the range and judgment to lead scientists who are experts in their own right, and the willingness to stay hands-on Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them A bias toward action, quickly translating ideas into working prototypes to test approaches Strong communication skills, including at the executive level, with a track record of driving alignment across teams and functions A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback Technologies we use: Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. This is a unique opportunity to build and lead the team behind Garner's algorithmic systems — shaping how members find better care, and how applied science gets done at Garner, while staying close to the work yourself. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target base comp range for this position is $300,000-$390,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Staff Applied Scientist to join our Applied Science team. Garner is hiring Applied Scientists to design and ship the algorithmic systems at the core of our product. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund. This is a player-coach role. You will be a hands-on-keys Applied Scientist, while also leading a small team that helps you deliver on your roadmap. Your time will be split between your own technical work and working with your team to shape how they approach their problems. This role is a good fit for someone who wants to develop their management toolkit while continuing to work closely on their own technical work, and it can lead either towards management or a deeper senior IC track. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own the most ambiguous, high-stakes problems facing the company end-to-end, and set how the team frames and approaches them Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for, and set the standard for how the team selects and applies these approaches Deliver algorithmic breakthroughs that move the company's most important metrics, pioneering approaches that become how applied science is done at Garner Lead a small team — set their technical direction, unblock them when they're stuck, and share accountability for their growth and the quality of what they ship Review Applied Science work at the highest level across the company, ensuring the methods used across teams are sound and correctly applied Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions. AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely. Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care. The ideal candidate has: 6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant advanced degree, PhDs preferred A bias toward action, quickly translating ideas into working prototypes to test approaches Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them Recognized technical authority, with the judgment to ensure the techniques used across an organization are sound Strong interest in mentoring or technically leading other Scientists — formal management experience is welcome, but not required Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem Strong communication skills, including at the executive level, with a track record of driving alignment across an organization A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. This is a unique opportunity to work on high-impact problems in healthcare — shaping how members find better care through algorithmic systems that directly influence healthcare outcomes, and helping the scientists around you do the same. Compensation Transparency: The target base comp range for this position is $300,000-$390,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .