Role Description You will join a global data ecosystem built on Google Cloud Platform, working on large-scale data and machine learning initiatives. The environment focuses on industrializing ML solutions—moving beyond experimentation into robust, production-ready systems. You will collaborate closely with Data Engineers, DevOps, and product teams to deploy, scale, and monitor ML models in real-world applications. - Design, build, and deploy machine learning models into production on GCP - Lead development of scalable ML pipelines for data ingestion, processing, and inference - Implement model lifecycle management using MLflow and DVC - Containerize ML applications using Docker and deploy via Kubernetes - Collaborate with DevOps teams to build CI/CD pipelines using GitLab - Optimize model performance, monitoring, and reliability in production environments - Contribute to architecture decisions and best practices for ML systems - Mentor junior engineers and promote engineering excellence across teams Qualifications - Strong proficiency in Python (advanced level) - Proven experience deploying ML models into production environments - Solid experience with Google Cloud Platform (ideally Vertex AI) - Hands-on experience with Docker and Kubernetes - Experience with ML lifecycle tools (MLflow, DVC) - CI/CD experience (GitLab preferred) - Experience working in Agile/SCRUM environments - Knowledge of R for data analysis - Experience working with large-scale data ecosystems (Data Engineering exposure) - Infrastructure as Code (IaC) experience - Exposure to Azure environments Benefits - Full-time contract - Remote position based in Málaga, Spain - Possibility to manage work permits - Training and career development opportunities - Perks & Benefits: smart office, private medical insurance, flexible remuneration, extra holidays - Be part of a multicultural team working on international projects Company Description Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions. - Headquartered in Paris and operating globally - Combines technology, innovation, and empowerment to deliver measurable results for clients - Strong presence in the IT and consulting landscape for over 22 years - On track to reach €1 billion in revenue this year - Core Areas of Expertise: - Data & Technologies: Design and implement large-scale, end-to-end architecture and data solutions - Cloud & Application Services: Integrate leading platforms to help clients transition to the cloud - Management & Innovation Consulting: Lead business and digital transformation initiatives

Role Description If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere. ACV's Machine Learning organization is looking for a talented Machine Learning Engineer III to join our ML inspection team. In this role, you'll drive end-to-end computer vision solutions processing hundreds of thousands of vehicle inspections annually into reliable, actionable insights, directly reducing inspection turnaround time, improving valuation accuracy, and scaling the capabilities of our inspection platform. You'll design and train damage detection models while architecting the high-throughput serving infrastructure needed to keep those models performant under real production loads. As ACV continues to grow, you'll play a direct role in ensuring our inspection capabilities remain accurate, efficient, and resilient at scale. This role goes beyond executing on a defined roadmap. You'll identify opportunities, shape solutions end-to-end, and take ownership of outcomes. You connect the dots between stakeholder needs and what's technically feasible, bringing recommendations grounded in both theory and practical constraints. When you hear a narrow question, you think about the broader system it lives in and build toward that. - Design and train high-performance computer vision models for automated damage detection, focusing on precision, recall, and model robustness. - Architect and maintain high-throughput, containerized microservices for model serving using REST/gRPC to ensure low-latency performance. - Collaborate with business stakeholders to translate complex inspection requirements into scalable, production-grade ML solutions. - Own the end-to-end model lifecycle, from experimentation and design to deployment and optimization in high-traffic environments. - Design and maintain robust data pipelines using Kafka to ensure high-fidelity inputs for model serving and inference. - Perform additional duties as assigned. Qualifications - Graduate education (MS or PhD) in a computationally intensive domain or equivalent work experience. - 3+ years of prior computer vision experience. - Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL. - Experience designing and maintaining visual data annotation pipelines and evaluation frameworks for complex, real-world image datasets. - Experience optimizing high-latency models for real-time inference. - Backend software engineering experience in the cloud (AWS / GCP) with a focus on microservices (docker) and the ML model development lifecycle. - Experience building and maintaining streaming data pipelines (e.g., Kafka) for real-time model serving. Preferred Qualifications - Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe and so on. - Experience designing evaluation frameworks for complex visual data. Benefits - Multiple medical plans including a high deductible, low cost health plan. - Company-sponsored (paid) Short-Term Disability, Long-Term Disability, and Life Insurance. - Comprehensive optional benefits such as Dental, Vision, Supplemental Life/AD&D, Legal/ID Protection, and Accident and Critical Illness Insurance. - Generous paid time off options, including uncapped vacation days, the greater of 3 paid sick days or in accordance with the applicable state or local paid sick leave law, 6 paid company holidays, 2 floating holidays, parental leave, bereavement leave, jury duty leave, voting leave, and other forms of paid leave as required by applicable law or regulation. - Employee Stock Purchase Program with additional opportunities to earn stock in the Company. - Retirement planning through the Company’s 401(k). Company Description ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey. Our network of brands include ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services.

Role Description If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere. ACV's Machine Learning organization is looking for a talented Machine Learning Engineer IV to join our ML inspection team. In this role, you'll drive end-to-end computer vision solutions processing hundreds of thousands of vehicle inspections annually into reliable, actionable insights, directly reducing inspection turnaround time, improving valuation accuracy, and scaling the capabilities of our inspection platform. You'll design and train damage detection models while architecting the high-throughput serving infrastructure needed to keep those models performant under real production loads. As ACV continues to grow, you'll play a direct role in ensuring our inspection capabilities remain accurate, efficient, and resilient at scale. This role goes beyond executing on a defined roadmap. You'll identify opportunities, shape solutions end-to-end, and take ownership of outcomes. You connect the dots between stakeholder needs and what's technically feasible, bringing recommendations grounded in both theory and practical constraints. When you hear a narrow question, you think about the broader system it lives in and build toward that. - Design and train high-performance computer vision models for automated damage detection, focusing on precision, recall, and model robustness. - Architect and maintain high-throughput, containerized microservices for model serving using REST/gRPC to ensure low-latency performance. - Collaborate with business stakeholders to translate complex inspection requirements into scalable, production-grade ML solutions. - Own the end-to-end model lifecycle, from experimentation and design to deployment and optimization in high-traffic environments. - Design and maintain robust data pipelines using Kafka to ensure high-fidelity inputs for model serving and inference. Qualifications - Graduate education (MS or PhD) in a computationally intensive domain or equivalent work experience. - 5+ years of prior computer vision experience. - Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL. - Experience designing and maintaining visual data annotation pipelines and evaluation frameworks for complex, real-world image datasets. - Experience optimizing high-latency models for real-time inference. - Backend software engineering experience in the cloud (AWS / GCP) with a focus on microservices (docker) and the ML model development lifecycle. - Experience building and maintaining streaming data pipelines (e.g., Kafka) for real-time model serving. Preferred Qualifications - Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe and so on. - Experience designing evaluation frameworks for complex visual data. - Experience leading technical design reviews. Benefits - Multiple medical plans including a high deductible, low cost health plan. - Company-sponsored (paid) Short-Term Disability, Long-Term Disability, and Life Insurance. - Comprehensive optional benefits such as Dental, Vision, Supplemental Life/AD&D, Legal/ID Protection, and Accident and Critical Illness Insurance. - Generous paid time off options, including uncapped vacation days, the greater of 3 paid sick days or in accordance with the applicable state or local paid sick leave law, 6 paid company holidays, 2 floating holidays, parental leave, bereavement leave, jury duty leave, voting leave, and other forms of paid leave as required by applicable law or regulation. - Employee Stock Purchase Program with additional opportunities to earn stock in the Company. - Retirement planning through the Company’s 401(k). Company Description ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey.

Description The Role: We are seeking an experienced, technically strong, impact-driven expert in ML Training Infrastructure with a demonstrated ability to lead through hands-on technical work. In this role, you will be responsible for defining the technical direction and driving the design and development of scalable, reliable, and high-performance AI/ML platform infrastructure that enables advanced AI research and model development at scale. As a Staff ML Engineer, you will operate as a technical leader across initiatives, partnering closely with machine learning engineers, research scientists, and platform teams to shape architecture, drive major technical decisions, and deliver state-of-the-art AI infrastructure that enables the future of intelligent driving technologies across General Motors vehicles. What You'll Do: - Define and drive the architecture, design, and development of scalable, reliable, and high-performance ML frameworks and platform capabilities to support model training at scale. - Lead model training performance analysis and optimization efforts across distributed training workflows, improving scalability, efficiency, and cost across heterogeneous hardware environments. - Raise the bar on system observability, debuggability, operational excellence, and developer experience across the ML training stack. - Own large, ambiguous, cross-functional technical initiatives from strategy through execution, including technical roadmap definition, tradeoff analysis, and delivery. - Influence platform direction by identifying long-term infrastructure investments, setting engineering standards, and driving adoption of best practices across teams. - Collaborate across organizational boundaries to align requirements, resolve technical disagreements, and integrate new capabilities into the platform ecosystem. - Mentor engineers through design reviews, technical guidance, and hands-on partnership, while elevating engineering quality across the team. Your Skills & Abilities (Required Qualifications) - Bachelor's degree or higher in Computer Science or a related field, or equivalent practical experience. - 8+ years of professional software engineering experience. - 5+ years of specialized experience in AI/ML infrastructure, such as enabling distributed training for large-scale ML models. - Strong programming skills in Python, with deep proficiency in frameworks such as PyTorch (preferred), TensorFlow, or similar ML systems. - Proven experience designing and operating distributed systems for ML training, including distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure). - Demonstrated track record of leading technically ambiguous, cross-team infrastructure initiatives and driving them to measurable impact. - Strong architectural judgment and ability to make sound technical tradeoffs across performance, reliability, usability, and cost. - Willingness to travel to Sunnyvale, CA as needed. - Comfortable operating in highly ambiguous and dynamic environments. What Will Give You a Competitive Edge (preferred qualifications): - 8+ years of professional software engineering experience. - Deep expertise in PyTorch 2.x+ and distributed training frameworks. - Experience designing and developing training platforms that support FSDP, pipeline parallelism, and other scalable solutions for training large foundational models. - Experience profiling, analyzing, debugging, and optimizing training and data loading performance at scale. - Strong record of technical leadership through architecture reviews, roadmap influence, and cross-team execution. - Excellent communication skills, with the ability to build consensus, navigate controversial decisions, communicate risks clearly, and provide constructive technical feedback. - Self-motivated, execution-oriented, and motivated by delivering broad organizational impact. 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 the California Bay Area. - The salary range for this role is $185,000 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. Relocation: This job may be eligible for relocation benefits. Benefits: - 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 This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager. This job may be eligible for relocation benefits. 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. Total Rewards | 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 [email protected] 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.