Quality Production Specialist Jobs

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems. Evaluate machine learning systems against business goals. Collaborate with Engineers to implement algorithms in live systems and ensure the robustness of the systems Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes Drive collaboration and coordination with cross-functional teams

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Dynamic Pricing & Offer Selection sits at the heart of Pricing, focused on determining optimal prices and ETAs in real-time and balancing supply and demand for our two-sided marketplace to drive both short-term and long-term conversion and retention. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.&n

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Dynamic Pricing & Offer Selection sits at the heart of Pricing, focused on determining optimal prices and ETAs in real-time and balancing supply and demand for our two-sided marketplace to drive both short-term and long-term conversion and retention. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.&n

Join Delphi - Where Innovation meets transformation At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics , transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future. We are looking for a hands-on Senior QA Consultant to lead end-to-end testing of AI and Generative AI applications across enterprise environments. This role combines strong expertise in traditional QA engineering with modern AI evaluation and validation practices. The ideal candidate will drive quality assurance initiatives for RAG pipelines, multi-agent systems, OCR and Speech-to-Text solutions while ensuring production grade quality outcomes in regulated industries such as Finance, Healthcare, and Insurance. The successful candidate will lead a small QA pod, collaborate closely with engineering, AI/ML, product, and business teams, and act as the client-facing QA owner for enterprise AI engagements. This role requires strong technical leadership, automation expertise, AI evaluation capabilities, and excellent stakeholder management skills. Experience Requirements • 7–10 years of experien

Do you enjoy solving complex supply chain problems? Are you passionate about adding value to Fortune 500 companies? Ready to join a place where smart solutions meet human collaboration? If you answered yes, you might be the Supply Chain Consultant we’re looking for. Your Challenge As a supply chain consultant, you equip customers with supply chain planning solutions. You analyze planning challenges, assist in the solution design, implement and validate the solution, and ensure a smooth go-live. Customers rely on your support throughout the entire project life cycle. You are responsible for: Finding clever planning solutions in collaboration with our solution architects to ensure an impeccable, high-quality implementation. Implementing the solution from start to finish, together with the customer’s project team. Providing expertise during and after implementation. Training customers so they get the most of their solution. Documenting the implemented solutions by providing technical descriptions to your fellow consultants and functional notes to the customer . Although you’ll be visiting customers regularly (about 20% of your time), you won’t be outsourced. In this way you remain rooted in our team of experts and consultants. About you Essential talents and qualifications: Strong analytical skills, preferably complemented with a Master's degree with a specialization in Production Management, Logistics, or similar. A strong affinity for IT as you need to be willing to learn an entirely new software package. Basic programming skills. The flexibility to travel. Fluent in English. A passion for working in a multinational customer-driven environment. A friendly and open attitude. A born team player. Soft skills · Communicative · Team player · Collaborative in a global context · Pra

Do you enjoy solving complex supply chain problems? Are you passionate about adding value to Fortune 500 companies? Ready to join a place where smart solutions meet human collaboration? If you answered yes, you might be the Supply Chain Consultant we’re looking for. Your Challenge As a supply chain consultant, you equip customers with supply chain planning solutions. You analyze planning challenges, assist in the solution design, implement and validate the solution, and ensure a smooth go-live. Customers rely on your support throughout the entire project life cycle. You are responsible for: Finding clever planning solutions in collaboration with our solution architects to ensure an impeccable, high-quality implementation. Implementing the solution from start to finish, together with the customer’s project team. Providing expertise during and after implementation. Training customers so they get the most of their solution. Documenting the implemented solutions by providing technical descriptions to your fellow consultants and functional notes to the customer . Although you’ll be visiting customers regularly (about 20% of your time), you won’t be outsourced. In this way you remain rooted in our team of experts and consultants. About you Essential talents and qualifications: Strong analytical skills, preferably complemented with a Master's degree with a specialization in Production Management, Logistics, or similar. A strong affinity for IT as you need to be willing to learn an entirely new software package. Basic programming skills. The flexibility to travel. Fluent in English. A passion for working in a multinational customer-driven environment. A friendly and open attitude. A born team player. Soft skills · Communicative · Team player · Collaborative in a global context · Pra

Do you enjoy solving complex supply chain problems? Are you passionate about adding value to Fortune 500 companies? Ready to join a place where smart solutions meet human collaboration? If you answered yes, you might be the Supply Chain Consultant we’re looking for. Your Challenge As a supply chain consultant, you equip customers with supply chain planning solutions. You analyze planning challenges, assist in the solution design, implement and validate the solution, and ensure a smooth go-live. Customers rely on your support throughout the entire project life cycle. You are responsible for: Finding clever planning solutions in collaboration with our solution architects to ensure an impeccable, high-quality implementation. Implementing the solution from start to finish, together with the customer’s project team. Providing expertise during and after implementation. Training customers so they get the most of their solution. Documenting the implemented solutions by providing technical descriptions to your fellow consultants and functional notes to the customer . Although you’ll be visiting customers regularly (about 20% of your time), you won’t be outsourced. In this way you remain rooted in our team of experts and consultants. About you Essential talents and qualifications: Strong analytical skills, preferably complemented with a Master's degree with a specialization in Production Management, Logistics, or similar. A strong affinity for IT as you need to be willing to learn an entirely new software package. Basic programming skills. The flexibility to travel. Fluent in English. A passion for working in a multinational customer-driven environment. A friendly and open attitude. A born team player. Soft skills · Communicative · Team player · Collaborative in a global context · Pra

Join Delphi - Where Innovation meets transformation At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics , transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future. We are looking for a hands-on Senior QA Consultant to lead end-to-end testing of AI and Generative AI applications across enterprise environments. This role combines strong expertise in traditional QA engineering with modern AI evaluation and validation practices. The ideal candidate will drive quality assurance initiatives for RAG pipelines, multi-agent systems, OCR and Speech-to-Text solutions while ensuring production grade quality outcomes in regulated industries such as Finance, Healthcare, and Insurance. The successful candidate will lead a small QA pod, collaborate closely with engineering, AI/ML, product, and business teams, and act as the client-facing QA owner for enterprise AI engagements. This role requires strong technical leadership, automation expertise, AI evaluation capabilities, and excellent stakeholder management skills. Experience Requirements • 10–15 years of experie

Titleist et FootJoy sont des noms que tous les golfeurs du monde connaissent. Ces marques appartiennent à Acushnet Company , le plus grand fabricant d'articles de golf au monde, dont le siège se trouve à Fairhaven, aux États-Unis. Acushnet, leader dans l’industrie du golf, est un fabricant et distributeur de balles de golf, clubs, chaussures et gants de golf, vêtements spécialisés, sacs de golf et autres accessoires. Participez à l'écriture d'une nouvelle page de l'industrie du golf en Europe pour notre marque Titleist ! Dans le cadre de notre développement et de la création de notre nouvelle Golf Club Manufacture sur notre site de Montataire, nous recherchons des talents prêts à s’engager dans un projet inédit en Europe. Intégrez une marque premium de renommée internationale et participez au démarrage de la première manufacture de clubs de golf du continent, où l'excellence, la précision et le souci du détail sont au cœur de chaque réalisation, au service des golfeurs. Vos missions seront les suivantes, sous la responsabilité du Head of Operations du site : Pre-Opening : Participer au parcours d’intégration et d’acquisition des connaissances nécessaires à la prise de fonction sur nos sites opérationnels de production existants situés aux États-Unis et au Royaume-Uni afin de s’approprier les standards, les processus et les meilleures pratiques du Groupe. Participer à l’installation, à la mise en service et à l’appropriation des équipements industriels en collaboration avec les ingénieurs du Groupe et les experts techniques internationaux. Se former aux procédés spécifiques de fabrication des clubs de golf afin de maîtriser l’ensemble de la chaîne de production et les exigences qualité associées. Préparer, structurer et fiabiliser les données de référence (« Master Data ») nécessaires au lancement

Print Sales Specialist Description - HP is seeking to identify highly motivated and qualified individuals for various future opportunities. Although there may not be an immediate opening, in anticipation of these opportunities becoming available, completing a profile will allow us to evaluate your qualifications and interests and will allow us to stay connected. Job Description: The Print Sales Specialist is responsible for specializing in sales, collaborating with Ownership Teams, managing account relationships, and providing expertise on HP's products and services. This role focuses on achieving sales quotas, developing proposals, landing new logos, and ensuring client hand-offs. The Print Sales Specialist owns Print Solutions focused selling activities aligned to an overall account strategy with existing or new accounts. Key Responsibilities Specialize in sales and collaborate with Ownership Teams. Manage account relationships and provide expertise on HP's products and services including software. Achieve sales quotas and develop proposals. Land new logos and ensure client hand-offs. Identify and pursue expansion opportunities within existing and new accounts Collaborate with the AE and Pursuit resources to identify, land, adopt, expand, renew, and close opportunities. Owns the Print focused selling activities aligned to an overall account strategy and collaborates with AE on Route to Market decisions including dMPS, iMPS or transactional. Develops productive relationships with key print focused channel partners to drive pipeline Ensure high-quality pipeline management and achieve sales quotas. Establish a professional, working, and consultative, relationship with the client, up to and including the C-level for mid-to-large accounts, by develop

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE OPPORTUNITY We are looking for Senior Software Engineers to join our team. This is a specialized, high-impact role sitting at the intersection of high-performance computing (HPC) and Large Language Model (LLM) engineering. You will not just be building the automated "speedometer and diagnostic" suite for our next-generation AI infrastructure; you will be defining the roadmap, driving key technical decisions, and taking full ownership of the future of this work. RESPONSIBILITIES Benchmarking : Evaluate, run and automate standard LLM quality benchmarks (GSM8K, MMLU) alongside custom performance suites for specific workloads (e.g., long-context window, KV cache reuse, disaggregated serving). DevEx Improvement : Develop and maintain internal GPU-enabled development environments (similar to GitHub Codespaces). You will ensure the team has seamless, high-performance "dev machines" optimized for model experimentation. Tool Development : Build and contribute to open-source tools such as InferenceMAX and genai-bench to automate model evaluation, benchmarking and analysis. System Profiling : Use profilers like PyTorch Profiler, NVIDIA Nsight Systems and py-spy to collect performance profiles, identify bottlenecks, and debug the compute/networking stack. Monitoring & Observability : Develop real-time dashboards and alerts to monitor system health, model startup times, and runtime performance. Continuous Integration : Auto

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Customer Experience Engineering Team builds the internal and external technologies that scale Snowflake’s global support and sales organizations. We empower our technical experts by providing the advanced tools they need to resolve complex issues and drive customer success. Our team specializes in software engineering, data-driven decisions, ML, and LLM-based solutions . We build production-grade systems to automate manual processes and augment the capabilities of our technical staff. Our current focus includes: LLMs : Developing and deploying LLM and agent-based architectures for streamlining troubleshooting Scalable Evaluations : Implementing large-scale evaluations to ensure the quality and reliability of our internal and external tools Process Automation : Designing intelligent workflows that eliminate bottlenecks and allow our experts to focus on the most technical aspects of the Snowflake platform Incident discovery: using embeddings, LLMs, clustering, and agents to detect potential widespread issues more quickly Now, the team is growing, and we are looking for a Software Engineer to join us. In this role, you will work closely with the state of the art LLM models, fine-tune them, develop agents, apply various clusterings, summarizations, embeddings, and so on. Ev

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Customer Experience Engineering Team builds the internal and external technologies that scale Snowflake’s global support and sales organizations. We empower our technical experts by providing the advanced tools they need to resolve complex issues and drive customer success. Our team specializes in software engineering, data-driven decisions, ML, and LLM-based solutions . We build production-grade systems to automate manual processes and augment the capabilities of our technical staff. Our current focus includes: LLMs : Developing and deploying LLM and agent-based architectures for streamlining troubleshooting Scalable Evaluations : Implementing large-scale evaluations to ensure the quality and reliability of our internal and external tools Process Automation : Designing intelligent workflows that eliminate bottlenecks and allow our experts to focus on the most technical aspects of the Snowflake platform Incident discovery: using embeddings, LLMs, clustering, and agents to detect potential widespread issues more quickly Now, the team is growing, and we are looking for a Software Engineer to join us. In this role, you will work closely with the state of the art LLM models, fine-tune them, develop agents, apply various clusterings, summarizations, embeddings, and so on. Ev

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! In September 2026 we raised a $350 million Series E at a $3.5 billion valuation , and we are scaling our engineering and research teams to meet demand. The role Frontier AI data is expensive to make and hard to measure. Every task we deliver is tested against the strongest models, often through many long-running agent rollouts. Your job is to make that process faster, cheaper, and more rigorous with ML and AI You will be one of the early members of ML & Research Engineering at Snorkel. You will study how frontier-grade data is generated and evaluated, form hypotheses, validate them against real production data, and ship the winners at scale. You will shape the discipline's direction, its standards, and the team that grows around it. What you'll work on Efficient agentic evals. Cut the cost of long-horizon agent evaluation with adaptive sampling, statistically grounded early stopping, model cascades, caching, and cheap-first gating. AI model routing. Route every eval and judge call to the cheapest model that clears the quality bar, with fallback, monitoring, and cost attribution. Fine-tuned small models. Fine-tune and serve open-weight models (LoRA and other

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Technician, Orbiter Your Role at Baxter This is where your technical expertise helps create life-sustaining products. As an Orbiter Technician within our Manufacturing team, you will be responsible for operating, maintaining, and troubleshooting specialized orbiter equipment used in the production of medical cuffs. In this critical role, you will help ensure production equipment operates safely, efficiently, and reliably while maintaining the high-quality standards required for medical device manufacturing. Working closely with production, maintenance, engineering, and quality teams, you will perform routine and preventive maintenance, diagnose equipment issues, implement repairs, and support continuous improvement initiati