This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves developing and executing a vision to improve our Ads Marketplace at Reddit. You will: - Develop a deep understanding of marketplace dynamics and identify areas of improvement. - Design, implement, and ship algorithms to production that improve ads marketplace efficiency. - Specialize in improving and optimizing ads auction and pricing mechanisms. - Work on strategic initiatives such as supply optimization and ad relevance. - Drive and execute on Reddit’s vision to transform into an advertising platform that shows the right ads to the right users. As a Staff Machine Learning Engineer in the Ads Marketplace Quality team, you will: - Be an industry technical leader with domain knowledge in ads marketplace dynamics, auction, and pricing. - Research, formulate, and execute on our mission to build end-to-end algorithmic solutions. - Contribute your expertise and shape the future of the ads marketplace at Reddit. Responsibilities include: - Lead and oversee strategy development, quarterly planning, and day-to-day execution of initiatives related to ads marketplace, auction, and pricing. - Proactively further understanding of marketplace dynamics and develop algorithms to improve efficiency and effectiveness. - Oversee end-to-end ML workflows—from data ingestion and feature engineering to model training, evaluation, and deployment. - Mentor and lead both junior and senior engineers in implementing technical designs and reviews. - Collaborate with cross-functional teams (e.g., product management, data science, PMM, Sales) to innovate and build products. Qualifications - 8+ years of experience with industry-level product development, with at least 5+ years focused on data-driven, marketplace-optimization problem space at scale. - Strong knowledge of ads marketplace optimization. - Demonstrated experience architecting ads marketplace design, improving and optimizing ads auction and pricing mechanisms. - Solid understanding of large-scale data processing, distributed computing, and data infrastructure (e.g., Spark, Kafka, Beam, Flink). - Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries for feature engineering, model training, and inference. - Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis. - Proven technical leadership in cross-functional settings, driving architectural decisions and influencing stakeholders. - Excellent communication, mentoring, and collaboration skills. Benefits - Comprehensive Healthcare Benefits - 401k Matching - Workspace benefits for your home office - Personal & Professional development funds - Family Planning Support - Flexible Vacation (please use them!) & Reddit Global Wellness Days - 4+ months paid Parental Leave - Paid Volunteer time off Company Description

• Map, plan, and implement enhancements and new requests related to data and Machine Learning; • Develop end-to-end data science solutions, from data exploration and preparation to model training and evaluation; • Conduct technical and business discovery to understand problems and propose data-driven solutions; • Structure, clean, and sanitize data for analysis and model training; • Develop data pipelines and ETLs using Python and SQL; • Build and evaluate Machine Learning models applied to search, ranking, and recommendation; • Work with embeddings and data representation techniques; • Perform rigorous quantitative analyses and communicate results clearly; • Document experiments, hypotheses, models, and results; • Collaborate with engineering and product teams on the evolution of the search platform; • Independently develop solution prototypes and experiments.

Description About the job TEKsystems is seeking an AI Engineer for a diversified healthcare services company headquartered in Dallas. Our care delivery network includes United Surgical Partners International, the largest ambulatory platform in the country, which operates ambulatory surgery centers and surgical hospitals. We also operate a national portfolio of acute care and specialty hospitals, other outpatient facilities, a network of leading employed physicians and a global business center in Manila, Philippines. Our subsidiary provides revenue cycle management and value-based care services to hospitals, health systems, physician practices, employers, and other clients. Job Description The Senior AI/ML engineer will be a key technical leader on the AI Solutions team and drive the development of AI-enabled products that will directly impact healthcare delivery. The individual will be responsible for end-to-end design, implementation, deployment and maintenance of AI systems, from prototype to production. This is a high-impact role for a Senior engineer ready to lead development of products that will directly impact healthcare delivery across a national network. This role requires a strong blend of advanced software engineering expertise, deep proficiency in Python, and a comprehensive understanding of AI, specifically generative AI, deep learning and machine learning fundamentals. AI Product Development: Architect, design, and implement highly scalable, secure, and performant code for AI solutions and complex data pipelines across our cloud platforms. Drive the technical roadmap and decision-making for the productionization of AI models and tools, leading projects from initial proof-of-concept to large-scale deployment. Lead the creation of rapid prototypes and minimum viable products (MVPs) to quickly validate technical feasibility and measurable value. Mentor junior engineers and data scientists, establishing best practices for code standards, rigorous unit/integration testing, and deployment process. Oversee the continuous integration process, proactively identifying and resolving complex technical issues, performance bottlenecks and architectural limitations. Cross-Functional Collaboration: Serve as a primary technical liaison with product managers and business stakeholders to define technical requirements, scope, and feasibility of AI solutions. Translate complex business needs and high-level requirements into detailed technical specifications and execution plans. Establish and maintain technical architecture documentation, code standards, data workflows, and business rules supporting AI products. Ensure all developed solutions adhere to Tenet’s AI governance standards and comply with regulatory, privacy, and security requirements. AI Systems Optimization & Research: Collaborate closely with our data engineering team to architect the technical setup for robust data dependencies, prompting and inference mechanisms for AI models. Design and implement advanced monitoring systems for deployed AI models, proactively managing performance, accuracy, and data drift. Proactively research, evaluate, and adopt new technologies, systems, and frameworks in AI. Qaulifications Education: A Bachelor’s degree in Computer Science, Software Engineering, or a closely related technical field is required. A Master’s degree in Computer Science or related technical field is preferred for individuals who do not have a Bachelor’s degree in Computer Science. Skills Python, Cloud, Devops, Automation, Azure Top Skills Details Python,Cloud,Devops,Automation,Azure Additional Skills & Qualifications At least 5-7 years of hands-on experience in software engineering with experience deploying AI/ML solutions in complex or regulated domains. Expertise in Python and ML frameworks Deep, practical experience with AI advancements in generative AI and deep learning concepts, including the practical application of large language models (LLMs). Extensive experience with cloud platforms, data pipelines, and IT/technical architecture. Proven experience leading projects within an agile development environment and driving collaboration with technical and non-technical teams. Expertise in deployment, monitoring, and MLOps considerations for scalable AI solutions. Possess and demonstrate excellent organizational, interpersonal, and communication skills for leading teams and liaising with stakeholders. Capacity to work independently and lead effectively as part of a technical team. Experience within a healthcare technology environment is a plus. Experience Level Expert Level Job Type & LocationThis is a Contract position based out of Dallas, TX. Pay and BenefitsThe pay range for this position is $75.00 - $80.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace TypeThis is a fully remote position. Application DeadlineThis position is anticipated to close on Mar 13, 2026. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Job Description Our Mapping organization is building national-scale, next-generation mapping systems that move beyond static HD maps toward automated, ML-driven map reconstruction pipelines powered by onboard sensor data. These systems form a critical foundation for localization, perception, simulation, and autonomy at scale. The Role We are looking for a Staff Machine Learning Engineer to serve as a technical leader for automated map reconstruction within our Mapping Engineering team. In this role, you will architect and deliver end-to-end ML and computer vision pipelines that reconstruct, validate, and maintain map primitives (e.g., lanes, boundaries, traffic controls, signs) from large-scale sensor data. Your work will directly power next-generation maps that operate reliably across national deployments and evolving road conditions. This is a hands-on technical leadership role. You will operate with high autonomy, define technical strategy in ambiguous problem spaces, and lead cross-functional efforts spanning Mapping, Perception, Localization, Simulation, and Infrastructure. You will also mentor senior engineers and help raise the ML and CV bar across the organization. What You’ll Do (Responsibilities) - Architect and lead ML-driven map reconstruction systems that operate at national scale using multi-modal sensor data (camera, lidar, radar, vehicle signals). - Design and implement end-to-end pipelines for offline map reconstruction, including data mining, labeling strategies, model training, evaluation, and production deployment. - Define technical strategy and system architecture for next-generation mapping capabilities, balancing ML innovation with robustness, safety, and operational scalability. - Lead the development and adoption of state-of-the-art computer vision and ML techniques (e.g., detection, segmentation, 3D reconstruction, BEV representations) applied to mapping problems. - Own cross-functional technical initiatives, working closely with Perception, Localization, Simulation, and Platform teams to define interfaces, data contracts, and integration points. - Drive technical excellence through design reviews, mentorship, and technical guidance for senior and staff-level engineers across teams. - Diagnose and resolve system-level issues across data pipelines, ML models, and production workflows. - Serve as a Subject Matter Expert (SME) for ML-based mapping and reconstruction within Mapping and across the AV organization. - Contribute to technical roadmaps, hiring, and capability building for ML and CV expertise within the Mapping org. Minimum Qualifications (Must-Have) - 5+ years of experience building and deploying machine learning or computer vision systems in production environments. - Strong foundation in computer vision, machine learning, or robotics, with hands-on experience designing and training ML models. - Proficiency in Python for ML development; familiarity with C++ or other systems languages is a plus. - Experience building large-scale data pipelines for ML, including dataset curation, labeling workflows, training, and evaluation. - Proven ability to lead complex, cross-functional technical initiatives with high autonomy and influence. - BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related technical field, or equivalent industry experience. - Strong systems thinking — ability to reason about end-to-end ML systems, not just individual models. Preferred Qualifications (Nice-to-Have) - Experience with mapping, localization, perception, or robotics systems, particularly in autonomous driving or mobile robotics. - Hands-on experience with 3D perception, BEV representations, or multi-view geometry. - Familiarity with AV sensor data (camera, lidar, radar) and real-world data challenges (noise, drift, long-tail scenarios). - Experience deploying ML models into production pipelines with monitoring, validation, and iteration loops. - Exposure to simulation-based validation, synthetic data, or map change detection workflows. - Experience mentoring senior engineers or acting as a technical lead across multiple teams. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. - The salary range for this role: is $185,100 to $335,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. - Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. #GM-AV-1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.