As a Machine Learning Engineer at CapTech, you will play a pivotal role in crafting and executing innovative data-driven solutions tailored for our diverse clientele. Your primary focus will be on the design and deployment of scalable machine learning systems within enterprise environments. At CapTech, we foster a collaborative atmosphere that encourages knowledge sharing and continuous learning among our analysts, architects, and clients.Key Responsibilities:Collaborate with clients, data scientists, engineers, and cross-functional teams to develop comprehensive end-to-end machine learning solutions, identifying novel approaches in machine learning and data science that fulfill business objectives.Translate client requirements into data-driven models and analytical frameworks.Handle and process extensive datasets across various enterprise-level data platforms such as AWS, Azure, and GCP.Design, develop, and implement advanced analytical solutions utilizing client data, including recommender systems, natural language processing, and risk scoring.Optimize and scale machine learning systems to meet client specifications effectively.Contribute to the growth of CapTech’s Machine Learning and Data Science practices through client presentations, proposal writing, participation in business development events, and mentorship of junior data scientists and engineers.

At CapTech, our Machine Learning Engineers play a pivotal role in creating and executing data-centric solutions tailored for our clients. We specialize in the design and deployment of scalable machine learning systems within enterprise frameworks. Our collaborative culture fosters an environment where you can learn from fellow analysts, architects, and clients alike.Key Responsibilities:Collaborate with clients, data scientists, engineers, and cross-functional teams to devise comprehensive machine learning solutions that align with business objectives.Translate client requirements into data-driven processes and analytical models.Conduct analysis and transformation of extensive datasets across various enterprise-level platforms such as AWS, Azure, and GCP.Design, develop, and implement sophisticated analytical solutions using client data, including recommender systems and natural language processing.Optimize and scale machine learning systems to meet client specifications and enhance performance.Advance CapTech’s Machine Learning and Data Science initiatives through client presentations, proposal writing, participation in business development activities, and mentoring junior data scientists and engineers.

At CapTech, our Machine Learning Engineers play a pivotal role in devising and executing data-centric solutions tailored to our clients' needs. With a strong emphasis on constructing and deploying scalable machine learning systems within enterprise landscapes, you will thrive in a collaborative environment. Here, you will have ample opportunities to learn and share insights with fellow analysts, architects, and our esteemed clients.Your key responsibilities as a Machine Learning Engineer will encompass:Collaborating with clients, data scientists, engineers, and cross-functional teams to design and deliver comprehensive machine learning solutions while exploring innovative data science strategies to fulfill business objectives.Breaking down client needs into actionable data-driven processes and analytical frameworks.Processing and transforming extensive datasets hosted on leading enterprise data platforms such as AWS, Azure, and GCP.Crafting, developing, and launching advanced analytical solutions utilizing client data, including recommender systems, natural language processing tools, and risk assessments.Optimizing and scaling machine learning systems to meet client specifications.Enhancing CapTech’s Machine Learning and Data Science practices by delivering impactful client presentations, drafting proposals, participating in business development activities, and mentoring junior data scientists and engineers.

As a Lead Machine Learning and Data Science Engineer at CapTech, you will spearhead the design and implementation of innovative, data-driven solutions for our clients, focusing on the development and deployment of scalable machine learning systems within enterprise frameworks. Our collaborative environment fosters continuous learning and knowledge sharing with fellow analysts, architects, and clients.Key Responsibilities:Collaborate with clients, data scientists, engineers, and cross-functional teams to devise end-to-end machine learning solutions that address evolving business needs.Provide technical guidance and ensure alignment of technical solutions with client requirements.Translate client requirements into actionable data-driven processes and analytical models.Examine and transform extensive datasets hosted on leading enterprise data platforms such as AWS, Azure, and GCP.Develop and deploy cutting-edge analytical solutions leveraging client-specific data, including recommender systems and natural language processing.Optimize and productionize machine learning systems to meet client expectations for performance and scalability.Enhance CapTech’s Machine Learning and Data Science practices by delivering engaging presentations, crafting proposals, participating in business development initiatives, and mentoring junior data scientists and engineers.

At Toast, we empower restaurants and local businesses to thrive in a digital landscape. Our innovative technology solutions enable business owners to streamline operations, boost sales, engage customers, and cultivate a satisfied workforce.As the Senior Manager of Data Science and Machine Learning, you will be a pivotal figure within our Research and Development organization. You will represent the data science and machine learning domain, guiding the Data & AI team to deliver groundbreaking solutions leveraging our extensive dataset encompassing restaurant operations, payments, and orders. Collaborating with data scientists, ML engineers, product managers, and fellow engineering leaders, your mission will be to transform ML/AI innovations into significant business value across various product lines, including commerce, hardware, and guest services.

As a Machine Learning Engineer at CapTech, you will be at the forefront of designing and executing innovative data-driven solutions tailored for our diverse clientele. Your primary focus will be on constructing and deploying robust machine learning systems within enterprise environments. Enjoy collaboration in a dynamic atmosphere that fosters knowledge sharing among analysts, architects, and clients.Key Responsibilities:Collaborate with clients, data scientists, engineers, and cross-functional teams to develop comprehensive machine learning solutions while discovering novel data science methodologies to fulfill business objectives.Translate client requirements into data-centric processes, models, and analytical metrics.Examine and process extensive datasets across various enterprise-level data platforms, including AWS, Azure, and GCP.Design and implement sophisticated analytical solutions utilizing client data, such as recommender systems, natural language processing, and risk assessment models.Optimize and scale machine learning systems to meet client specifications effectively.Enhance CapTech’s Machine Learning and Data Science practices through client presentations, proposal writing, participation in business development activities, and mentoring junior data scientists and engineers.

At CapTech, our Machine Learning Engineers play a pivotal role in crafting and deploying innovative data-driven solutions tailored for our esteemed clients. We focus on developing scalable machine learning systems within enterprise frameworks. Our collaborative culture fosters continuous learning and knowledge-sharing among CapTech analysts, architects, and clients alike.Key Responsibilities of the Machine Learning Engineer Include:Collaborating with clients, data scientists, engineers, and cross-functional teams to devise and implement comprehensive end-to-end machine learning solutions, while exploring novel approaches to address business challenges.Translating client requirements into actionable data-driven processes, models, and analytical metrics.Processing and analyzing extensive datasets across various enterprise-level platforms (e.g., AWS, Azure, GCP).Designing, developing, and deploying sophisticated analytical solutions leveraging client data, including recommender systems, natural language processing, and risk scoring.Optimizing and scaling ML systems to meet client specifications.Enhancing CapTech’s Machine Learning and Data Science capabilities by delivering impactful presentations, crafting proposals, participating in business development initiatives, and mentoring junior data scientists and engineers.

At CapTech, our Machine Learning Engineers play a pivotal role in crafting and executing data-driven strategies tailored for our clients. We focus on developing and deploying scalable machine learning systems within enterprise contexts. Our collaborative workplace fosters continuous learning and knowledge sharing among our analysts, architects, and clients.Key responsibilities of the Machine Learning Engineer role include:Collaborating with clients, data scientists, engineers, and cross-functional teams to implement comprehensive machine learning solutions while exploring innovative data science techniques to address business challenges.Translating client requirements into analytical frameworks and data-driven models.Processing and analyzing extensive datasets across various enterprise data platforms (e.g., AWS, Azure, GCP).Creating, developing, and deploying advanced analytical models using client data (e.g., recommendation systems, natural language processing, risk assessment).Optimizing and scaling machine learning systems to meet client specifications effectively.Enhancing CapTech’s Machine Learning and Data Science initiatives by delivering client presentations, crafting proposals, participating in business development activities, and mentoring junior data scientists and engineers.

About CookUnity:CookUnity was born out of a desire to restore the soul of food, connecting people with chefs who create meals that nourish, inspire, and unite us. Since its inception in 2018, CookUnity has emerged as a pioneering platform delivering 50 million meals annually from top-tier chefs to homes across the nation. Our meals are fresh, ready-to-eat, and crafted with care, embodying the essence of nourishment that transcends the plate.As we continue to evolve, CookUnity is setting its sights beyond meal delivery, transforming into a dynamic marketplace with the mission to empower chefs to nourish the world.If this mission resonates with you, we invite you to explore this exciting opportunity.The Role:We are in search of a Senior Manager, Data Science and Machine Learning to spearhead the next chapter of innovation at CookUnity. This role transcends conventional analytics; you will architect the machine learning and experimentation framework necessary for delivering personalized and intelligent product experiences at scale.In this pivotal position, you will define the strategic vision that guides our data science initiatives and product roadmap. You will lead a dedicated team focused on predictive modeling, personalized experiences, experimentation frameworks, and cutting-edge machine learning capabilities that enhance customer engagement, retention, and lifetime value. This high-impact role is designed for an individual who can think strategically about the future of product science while actively driving technical implementation.

As a Lead Machine Learning Engineer at CapTech, you will be at the forefront of designing and implementing innovative, data-driven solutions for our clientele. Your primary focus will be on developing and deploying scalable machine learning systems within enterprise environments. At CapTech, we foster a collaborative atmosphere, offering numerous opportunities to engage with and learn from fellow analysts, architects, and clients.Key responsibilities for the Lead Machine Learning Engineer role include: Collaborating with clients, data scientists, engineers, and cross-functional teams to devise end-to-end machine learning solutions and explore new methodologies in data science to fulfill business objectives.Providing technical leadership and ensuring alignment of technical solutions with client requirements across teams.Translating client needs into data-driven processes, models, and analytical metrics.Conducting analysis and transformation of large datasets leveraging various enterprise-level data platforms such as AWS, Azure, and GCP.Designing, developing, and deploying advanced analytical solutions utilizing client data, including recommender systems, natural language processing, and risk scoring.Optimizing and scaling machine learning systems to meet client specifications.Enhancing CapTech’s Machine Learning and Data Science capabilities through client presentations, proposal writing, participation in business development events, and mentoring junior data scientists and engineers.

As a Lead Machine Learning Engineer at CapTech, you will be at the forefront of designing and implementing innovative, data-driven solutions tailored to our clients' needs. Your primary focus will be on developing and deploying scalable machine learning systems within enterprise settings. Enjoy a collaborative atmosphere where you can learn from and share insights with fellow analysts, architects, and clients.Key Responsibilities:Collaborate with clients, data scientists, engineers, and cross-functional teams to develop comprehensive machine learning solutions and identify novel data science strategies that address business challenges.Offer technical leadership and work closely with teams to ensure alignment of technical solutions with customer requirements.Translate client specifications into data-centric processes, models, and analytical metrics.Analyze and transform extensive datasets across various enterprise-level platforms (e.g., AWS, Azure, GCP).Design, build, and deploy sophisticated analytical solutions utilizing client data (including recommender systems, natural language processing, and risk assessment).Optimize and scale machine learning systems to meet client needs effectively.Advance CapTech’s Machine Learning and Data Science practices by delivering client presentations, crafting proposals, participating in business development events, and mentoring junior data scientists and engineers.

Join RESPEC as a Student Engineering Intern in Data Science at our Rapid City, SD office for our 2026 Summer Internship Program. This immersive role offers a full-time commitment of 40 hours per week during the summer of 2026.As an intern, you will acquire practical experience in data collection, analysis, and the development of extensive database systems that empower our engineering teams. The ideal candidate will be familiar with artificial intelligence and machine learning tools to effectively query, analyze, and manage substantial datasets. Knowledge of database system design and implementation is essential, while experience with GIS database systems is highly regarded.Your tasks may also involve creating specialized scripts and software utilities utilizing programming languages such as Python, C++, or VBA. You will be guided by our seasoned engineering professionals, ensuring a supportive learning environment.

About the Role Lyft Ads is looking for a Data Science Manager with a focus on machine learning. This manager will guide a team of data scientists and work closely with others to develop advertising solutions that improve the platform’s performance. The role centers on applying machine learning expertise to shape insights and strategies for Lyft Ads.

At CapTech, our Machine Learning Engineers play a pivotal role in crafting and executing data-centric solutions for our clients. We emphasize the creation and deployment of scalable machine learning systems within enterprise settings. Our team thrives in a collaborative atmosphere, offering ample opportunities for knowledge-sharing and professional growth alongside fellow analysts, architects, and clients.As a Lead Machine Learning Engineer, your key responsibilities will include:Collaborating with clients, data scientists, engineers, and cross-functional team members to deliver comprehensive machine learning solutions and explore innovative data science methodologies that align with business objectives.Providing technical leadership and fostering collaboration across teams to ensure that solutions meet customer requirements effectively.Transforming client needs into data-driven models and analytical frameworks.Conducting analysis and manipulation of extensive datasets using various enterprise-level data platforms (e.g., AWS, Azure, GCP).Designing, developing, and implementing sophisticated analytical solutions using client data (such as recommendation engines, natural language processing, and risk assessment models).Optimizing and scaling machine learning systems to fulfill client demands.Enhancing CapTech's Machine Learning and Data Science initiatives by delivering presentations, crafting proposals, participating in business development activities, and guiding junior data scientists and engineers.

Join CapTech as a Lead Machine Learning Engineer, where you will spearhead the design and implementation of innovative, data-driven solutions tailored to our clients' needs. Your expertise will be crucial in building and deploying robust machine learning systems within enterprise environments. At CapTech, we foster a collaborative culture that encourages knowledge sharing among analysts, architects, and our clients, creating opportunities for professional growth.Key Responsibilities:Collaborate with clients, data scientists, engineers, and cross-functional teams to devise and implement comprehensive machine learning solutions that align with business objectives.Provide technical guidance and leadership, ensuring that the overall technical strategy meets client expectations.Translate client requirements into actionable, data-driven processes and analytical models.Analyze and manipulate large datasets from various enterprise-level platforms, such as AWS, Azure, and GCP.Design, develop, and deploy sophisticated analytical solutions utilizing client data, including recommender systems and natural language processing.Optimize and productionize machine learning systems to ensure scalability and performance in line with client demands.Enhance CapTech's Machine Learning and Data Science practices through client presentations, proposal writing, participation in business development events, and mentoring junior team members.

Role OverviewJoin us as a Customer Data Machine Learning Intern, where you'll play a pivotal role in refining and advancing our opportunity health scoring model. This essential tool is designed to enhance pipeline quality, increase win rates, and optimize revenue outcomes. Your focus will include expanding feature engineering, boosting model performance, and conducting experiments with customer, sales, and product data using Microsoft Fabric. You'll collaborate closely with Data Science, Analytics, and RevOps teams to incorporate additional signals, ensuring the outputs are actionable for our sales team. This is a hands-on internship that allows you to apply machine learning within a real business context, directly contributing to revenue-generating insights.

Oligo is pioneering a revolutionary manufacturing-in-the-loop platform designed to automate spacecraft design and production globally. Our innovative approach empowers clients to concentrate on their unique technology and mission goals while we manage every aspect, from design and manufacturing to launch and operations. By utilizing state-of-the-art AI-driven generative design and automated manufacturing, our expert team, comprised of alumni from MIT, Harvard, and NASA JPL, rapidly develops the most advanced payload-specific spacecraft in a matter of weeks, not months.With esteemed advisors on our board and recent investments from leading venture capital firms like Lux Capital, we are constantly seeking outstanding creators, quick learners, and driven engineers. If your interests align with spacecraft systems, avionics, ML/AI, or cutting-edge manufacturing, you will have the opportunity to collaborate across various disciplines on real missions that launch, perform in orbit, and scale on an international level.At Oligo, we unite top-tier AI/ML talent with leading satellite engineers to rethink the construction of space systems from the ground up, minimizing bureaucracy and outdated thinking.If you believe you would be a great addition to our team, we can't wait to meet you.Role OverviewOligo is developing vertically integrated infrastructure for automated spacecraft design and production. Our AI software suite, Zenith, transforms raw mission requirements into flight-ready spacecraft through a sophisticated pipeline of intelligent AI systems, embedded simulation, and hardware-in-the-loop validation.We are in search of interns with a background in ML/AI and systems engineering to contribute to essential algorithms throughout our stack, from geometry-aware generative design to system-level reasoning agents. You will collaborate with spacecraft engineers and flight software developers to create AI that not only simulates spacecraft but actually designs them.This is a hands-on role ideal for students or early-career engineers eager to leverage cutting-edge AI in real-world applications. You will gain valuable experience in spacecraft engineering, astrodynamics, and manufacturability by creating models that influence how our satellites are engineered, built, and flown.

About the Role Lyft Ads is looking for a Data Science Manager with a focus on Machine Learning. This position is based in San Francisco, CA. What You Will Do Lead a team of data scientists working on advertising solutions Guide the development and optimization of machine learning algorithms Improve user targeting methods to increase advertising effectiveness Analyze large datasets to support strategic decisions across Lyft Ads Shape advertising performance and influence user engagement through data-driven insights What We’re Looking For Experience managing data science teams Strong background in machine learning and algorithm development Ability to work with large-scale datasets Skilled at translating analysis into actionable business strategies

As a Lead Machine Learning and Data Science Engineer at CapTech, you will spearhead the design and execution of innovative data-driven solutions tailored to meet our clients' unique challenges. Focused on creating and deploying robust machine learning systems within enterprise environments, you will thrive in our collaborative culture, fostering knowledge-sharing among analysts, architects, and clients.Key Responsibilities:Collaborate with clients, data scientists, engineers, and cross-functional team members to develop comprehensive end-to-end machine learning solutions and explore novel data science methodologies to address business challenges.Provide technical guidance and ensure alignment of technical solutions with client expectations through effective collaboration.Translate client requirements into actionable data-driven processes, models, and analytical metrics.Analyze and process extensive datasets utilizing various enterprise-level data platforms including AWS, Azure, and GCP.Develop and launch sophisticated analytical solutions leveraging client data, such as recommender systems, NLP applications, and risk assessment models.Optimize and scale machine learning systems to meet client demands and ensure smooth production deployment.Enhance CapTech's Machine Learning and Data Science capabilities through client presentations, proposal development, participation in business development events, and mentoring junior data scientists and engineers.