Machine Learning Engineer

Join Signifyd, a leader in eCommerce fraud protection, as a Senior Machine Learning Engineer I / II. In this role, you will leverage advanced machine learning techniques to enhance our fraud detection systems. You will work collaboratively with a team of talented engineers and data scientists to develop innovative solutions that protect businesses from fraud.

Role overview Quizlet is looking for a Machine Learning Engineer to join the Monetization and Decision Systems team. The focus is on building models that help drive user engagement and support revenue growth using data-driven approaches. What you will do Design and implement machine learning models that contribute to monetization strategies and decision-making systems. Collaborate with engineering, product, and design teams to deliver solutions that scale. Apply machine learning skills to develop products used by millions of learners. Locations Denver, CO New York, NY San Francisco, CA Seattle, WA

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.

As a Machine Learning Engineer at CapTech Consulting, you will play a pivotal role in crafting and executing data-driven solutions tailored for our clients. Your expertise will be key in developing and deploying scalable machine learning systems within enterprise environments. We foster a collaborative atmosphere where you will have numerous opportunities to learn from and exchange insights with fellow analysts, architects, and our clients.Your key responsibilities include:Collaborating with clients, data scientists, engineers, and cross-functional teams to design and implement comprehensive machine learning solutions that address business challenges.Translating client requirements into effective data-driven processes, models, and analytical metrics.Working with extensive datasets across various enterprise data platforms, including AWS, Azure, and GCP.Creating, developing, and deploying sophisticated analytical solutions using client data, such as recommender systems, natural language processing, and risk assessment frameworks.Optimizing and scaling machine learning systems to meet specific client demands.Enhancing CapTech’s Machine Learning and Data Science practices by delivering impactful client presentations, drafting proposals, participating in business development initiatives, and mentoring junior data scientists and engineers.

Xometry (NASDAQ: XMTR) is at the forefront of transforming industries by bridging visionary innovators with manufacturers capable of realizing their ideas. Our dynamic digital marketplace equips manufacturers with the essential tools to expand their operations, while enabling Fortune 1000 companies to seamlessly access global manufacturing capabilities.We are on the lookout for a Principal Machine Learning Data Scientist to become a pivotal member of our Generative AI team. The ideal candidate will possess a fervent drive to propel advancements in machine learning and generative AI, with a specific focus on fine-tuning generative and language models, multimodal document comprehension, and structured data extraction. Your expertise will be instrumental in crafting and optimizing cutting-edge AI solutions that elevate Xometry's service offerings.

Join Xometry as a Senior Application Engineer specializing in CNC Machining, where you will leverage your expertise to innovate and enhance our machining solutions. In this pivotal role, you will collaborate with cross-functional teams to design and implement advanced machining processes that meet our customers' diverse needs.

A new era in space exploration has commenced. True Anomaly is on the lookout for talented and ambitious individuals to create cutting-edge technology that addresses the engineering, manufacturing, and operational challenges of space security and sustainability.OUR MISSIONWe believe that peaceful utilization of space is crucial for the ongoing prosperity of our planet—from communications and finance to navigation and logistics. True Anomaly is dedicated to developing innovative technologies that blend spacecraft, software, and artificial intelligence to enhance the capabilities of the U.S., its allies, and commercial partners. Our commitment is to protect global security by ensuring equitable access to space and its sustainable use for all.OUR VALUESBe the offset. We create asymmetric advantages through creativity and ingenuity.What would it take? We question assumptions to achieve ambitious outcomes.It’s the people. Our team is our key competitive edge, and together we are stronger.YOUR ROLEAs a vital member of the Applied Algorithms and Autonomy team, you will be tasked with developing and executing True Anomaly’s autonomy roadmap. Collaborating with a skilled cross-functional team, you will work to advance groundbreaking technology at the intersection of artificial intelligence, machine learning, and classical optimization. Your responsibilities will encompass various domains, including vehicle autonomy, mission planning, and more.

Quizlet Inc. is looking for an Applied AI Engineer to create AI-driven features that support student learning. This position centers on developing and deploying machine learning solutions aimed at making study experiences more effective and engaging for a global user base. What you will do Design and implement machine learning models to enhance Quizlet’s educational tools Work on features that help students study more efficiently and enjoyably Locations Denver, CO New York, NY San Francisco, CA Seattle, WA

Blissway creates technology to modernize toll collection and improve highway safety across the United States. The company operates at the intersection of deep tech, AI/ML, hardware, SaaS, and IoT, focusing on solutions that directly impact the Interstate Highway System. With a team of fewer than 30 people, Blissway maintains a hands-on approach and a strong technical edge in the tolling sector. This Software Engineer position is based in Denver, Colorado. The role centers on building and maintaining systems that must perform reliably in unpredictable, real-world environments. Engineers here work closely with a small team, often taking projects from concept to launch. What you will do Develop and maintain software for systems that operate in varied and sometimes challenging field conditions. Work collaboratively in a small team, contributing across different functional areas as needed. Adapt to new technologies and tools, learning quickly to meet project needs. Requirements Strong sense of ownership and drive to see projects through to completion. Attention to detail, with a focus on writing reliable and precise code. Comfortable adapting to new challenges and learning on the job. Proficiency in Python and TypeScript, with openness to picking up new languages and tools. Location This position is based in Denver, Colorado.

Join our innovative team at DigitalOcean as a Senior Engineer II, focusing on the Inference Data Plane. In this role, you will lead the development of cutting-edge data processing systems that drive our machine learning initiatives. You will collaborate closely with cross-functional teams to optimize performance and enhance user experience.

Join DigitalOcean as a Senior Engineer 2 specializing in Inference Optimizations. In this role, you will leverage your expertise to enhance the performance and efficiency of our inference systems, contributing to cutting-edge solutions that impact our global user base. Collaborate with a dynamic team of engineers and data scientists to design, implement, and optimize algorithms that drive our products forward.

Join DigitalOcean as a Senior Full-Stack Engineer II, where you will leverage your expertise in AI/ML to develop innovative solutions that enhance our cloud platform. In this role, you will collaborate with cross-functional teams to design, implement, and optimize robust applications, ensuring seamless integration of AI technologies.

Role Overview The Pioneer Team is hiring a Senior Consultant focused on Artificial Intelligence Engineering in Denver, Colorado. This position centers on helping clients integrate AI solutions that make real business impact. Expect to work closely with clients as they navigate the challenges and opportunities of AI adoption. What You Will Do Advise clients on AI strategy and implementation, ensuring their data is used effectively Design and build advanced AI models tailored to business needs Work alongside cross-functional teams to deliver projects from concept to deployment Contribute to strategic initiatives that shape client outcomes and internal capabilities Collaboration and Growth This role offers the chance to work on meaningful, complex projects while developing expertise in a collaborative environment. Team members support each other and share knowledge as they solve real-world problems with AI.

A new era in space exploration is upon us. True Anomaly invites visionary individuals to join us in creating groundbreaking technology that addresses the future of engineering, manufacturing, and operational challenges in space security and sustainability.OUR MISSIONThe peaceful utilization of space is vital for global prosperity—from communications and finance to navigation and logistics. True Anomaly pioneers innovative technology at the crossroads of spacecraft, software, and AI, enhancing the capabilities of the U.S., its allies, and commercial partners. We are committed to global security by ensuring sustainable access to space for everyone.OUR VALUESBe the offset. We cultivate asymmetric advantages through creativity and ingenuity.What would it take? We challenge norms to achieve ambitious goals.It’s the people. Our team is our greatest asset, and collaboration makes us stronger.YOUR MISSIONAs a key member of the Applied Algorithms and Autonomy team, you will be responsible for designing, developing, and deploying essential autonomy capabilities for True Anomaly. Collaborating with a skilled cross-functional team, you will enhance technology at the intersection of artificial intelligence, machine learning, and classical optimization. Your work will encompass various domains, including vehicle autonomy, mission planning, wargaming, threat assessment, and uncooperative RPO capabilities. As a first-principles engineer, you will take full ownership of the systems you create, striving to deliver impactful results.

About the Opportunity Join our dynamic team as a Data Scientist, where you will transform raw data into actionable insights and develop models that significantly impact business success. Collaborate with diverse stakeholders to comprehend challenges, craft analytical solutions, and launch scalable data products. What to Expect? Gather, clean, and analyze both structured and unstructured data. Create predictive models, conduct statistical analyses, and implement machine learning algorithms. Design dashboards, reports, and data visualizations to effectively communicate insights. Partner with engineering teams to deploy models in production environments. Execute exploratory data analysis (EDA) to uncover trends and opportunities. Perform A/B testing and design experiments to evaluate feature performance. Document methodologies to ensure the reproducibility of your analytical work. Contribute to comprehensive machine learning workflows, including model training, validation, and deployment, with engineering support. Monitor model performance and data quality, making updates as necessary.

About GustoAt Gusto, our mission is to empower the small business economy. We take care of the complexities—such as payroll, health insurance, 401(k)s, and HR—allowing business owners to concentrate on their craft and their customers. With teams in Denver, San Francisco, and New York, we proudly support over 400,000 small businesses nationwide, and we are committed to creating a workplace that mirrors and celebrates the diverse customers we serve. Discover more about our Total Rewards philosophy.About the Role:The Sales Enablement team, a vital part of our Revenue Operations, is essential to delivering a world-class sales experience. As a Learning Partner, you will be instrumental in executing enablement strategies that boost revenue growth and enhance feature adoption among our sales teams. This role encompasses overseeing the learning lifecycle for Expansion Sales and collaborating closely with leadership on onboarding, ongoing education, and the development of high-performance skills. You will be responsible for designing and implementing impactful learning solutions, including engaging learning assets, self-paced content, and facilitated experiences.We are looking for a candidate with a solid background in learning science, exceptional consulting skills, and experience in professional sales or business development. Your passion for enabling Expansion Sellers (up-sell/cross-sell/renewal revenue motions) with the necessary content, tools, insights, and training will be key to helping them secure more business while delighting our existing clients. You should resonate with our company values, possess a strong self-motivation to achieve results, and exhibit a relentless curiosity to deepen your product knowledge and scale enablement quickly in a fast-paced environment.Key Responsibilities:Collaborate with stakeholders across revenue operations and other cross-functional teams to identify the learning and performance needs of sellers that will drive business results.Analyze skill and knowledge gaps and independently craft and implement enablement solutions that lead to measurable enhancements in capability, productivity, and revenue, often under tight timelines and with minimal resources.Utilize learner-centered design principles, balancing speed and impact while tailoring solutions based on observations, stakeholder feedback, and the depth of learning required for performance improvement.

Are you an imaginative and daring researcher eager to transform innovative concepts from the laboratory into practical applications? Do you excel at tackling significant challenges in distributed systems—including AI at the edge, cybersecurity, and software-defined networking—for cutting-edge autonomous machines? If you are a strategic thinker looking to work at the crossroads of product development and proven technology, this opportunity is perfect for you!In this role, you will become a vital member of an exceptional research team recognized as one of the top 1% in the nation for research commercialization success. As our Distributed Systems Research Engineer, you will not only conduct research that transcends the laboratory but will also play a crucial role in maintaining our status as the leading provider of advanced software infrastructure in the industry. You will be at the forefront of ushering in a new era for autonomous vehicles, medical robotics, and smart power systems. Your research will be groundbreaking in the area of distributed systems, leveraging a robust, data-centric foundation while addressing challenging open problems across the full stack—from how intelligent machines communicate to how they make decisions and act in the real world.

At Crusoe, we are on a mission to enhance the accessibility of energy and intelligence. Our innovative solutions are designed to empower individuals to pursue ambitious projects with AI while maintaining a commitment to scalability, speed, and sustainability.Join us in revolutionizing the AI landscape through sustainable technology. In this role, you will play a crucial part in driving meaningful change, making a real difference, and being part of a team that leads the way in responsible cloud infrastructure.About the Role:We are looking for an enthusiastic and experienced Customer Success Manager with a robust background in customer engagement and a solid understanding of cloud computing, AI, and ML. This position is essential for helping our clients fully leverage our solutions, navigating technical challenges, and equipping them with the necessary tools and knowledge to reach their business and sustainability objectives. This is a full-time opportunity.Key Responsibilities:Customer Relationship Management: Build and nurture strong relationships with customers, thoroughly understanding their business needs and technical requirements.Technical Guidance and Support: Offer expert technical guidance and support to customers in implementing and optimizing our cloud-based AI and ML solutions, including Kubernetes.Performance Monitoring and Reporting: Regularly assess and report on customer progress, ensuring key performance indicators and return on investment are achieved.Industry and Technical Awareness: Keep abreast of industry trends, technological advancements, and regulatory changes to provide informed strategic advice to clients.Customer Training: Conduct training sessions and workshops to educate customers on the advantages and usage of our products and services.Issue Resolution: Proactively address and resolve customer concerns to ensure high levels of satisfaction and retention.Your Qualifications:Educational Background: Bachelor's degree in Business, Engineering, or a related field.Professional Experience: Demonstrated experience in customer success, technical account management, or a comparable role within a technology-focused environment.Technical Proficiency: Familiarity with computing platforms, AI, and ML technologies, along with a passion for innovative solutions.

At Neara, we are revolutionizing power grid management by harnessing the power of advanced machine learning and digital twin technology. Imagine being able to stress-test an entire power grid against a hurricane before it even approaches. This is the transformative reality we are creating.We develop engineering-grade, physics-enabled digital twins of electricity grids spanning four continents. This technology empowers asset owners to identify their most pressing challenges and to implement effective solutions across millions of kilometers of infrastructure.By simulating extreme weather events and structural stress across entire networks, we enable the world’s largest utilities to accurately identify risks, optimize investments, and build a more resilient energy future.Our team consists of passionate innovators who are dedicated to making a real-world impact through AI and machine learning. We foster a unique culture where creativity and innovation flourish, as each team member actively contributes to our mission. We are looking for intelligent, resourceful individuals to help us extend our impact globally.We are in search of a strategic leader who excels at managing complex projects, ensuring customer success, and providing strategic consulting. This role is designed for an orchestrator who will take comprehensive ownership of high-stakes enterprise accounts, skillfully managing technical workflows and engaging with demanding stakeholders autonomously.You will guide a team of elite technical professionals. While deep coding expertise isn’t a prerequisite, possessing strong technical intuition to validate solutions, identify inefficiencies, and ensure your team’s optimal performance is essential. Your primary mission is to drive significant value for the customer; you are not merely managing a contract, but actively solving real challenges.