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Experience Level
Mid to Senior
Qualifications
Ideal candidates will have a strong background in machine learning and AI technologies, with experience in programming languages such as Python or Java. A proven track record in developing scalable AI solutions is essential. Candidates should also possess excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
About the job
Join Spoton as a Staff AI Engineer and take the lead in developing cutting-edge AI solutions that revolutionize the customer experience. As part of our innovative team, you will collaborate with cross-functional teams to design, implement, and optimize AI models that drive impactful business decisions.
About Spoton
Spoton is a forward-thinking technology company based in Chicago, Illinois, dedicated to delivering innovative solutions that enhance customer interactions and streamline operations. Our commitment to excellence drives us to harness the power of artificial intelligence and machine learning, positioning us at the forefront of the tech industry.
Join DeepWalk as a Staff Software EngineerAt DeepWalk, we are pioneering advancements in computer vision to ensure safer and more accessible sidewalks across cities. Our innovative solutions are utilized by municipalities, educational institutions, and engineering firms to enhance public safety.Over the past year, we have successfully processed thousands of …
Join DeepWalk as a Senior/Staff Software EngineerDeepWalk is an innovative startup dedicated to enhancing urban safety through cutting-edge computer vision technology. Our mission is to assist municipalities in monitoring and improving sidewalk conditions, ensuring safer pathways for all. We are proud to have established partnerships with numerous cities, universities, and engineering firms, making a tangible impact across the nation.Over the past year, we have successfully processed thousands of miles of sidewalks across more than 20 states, generating millions of labeled data points that inform crucial infrastructure decisions. With a recent $2.1M seed funding round led by Enable Ventures, we are on a strong growth trajectory and are generating 7-figure revenues as we support communities across America.Your RoleWe are seeking a Senior/Staff Software Engineer to spearhead the technical evolution of our computer vision platform dedicated to automated sidewalk inspections. This role involves addressing complex, open-ended challenges associated with large-scale imagery, production-level ML systems, and extensive data pipelines that manage hundreds of terabytes of data. Ideal candidates will have substantial experience in developing and maintaining ML or computer vision systems in a production environment.In this pivotal position, you will contribute significantly to the analysis and processing of millions of images, enabling cities to create safer and more accessible infrastructures. You'll collaborate closely with a talented team of engineers, guiding the technical direction and establishing scalable practices.Our technology stack primarily consists of Python-based computer vision and machine learning systems hosted on AWS, complemented by robust data pipelines tailored for high-volume imagery and geospatial data management.Your ResponsibilitiesOversee the entire lifecycle of our computer vision models, including their training, evaluation, deployment, and continuous improvement.Enhance model performance under real-world conditions, addressing challenges such as noise, edge cases, and data drift.Design and optimize data pipelines to efficiently process thousands of miles of sidewalk data and millions of images.Lead architectural strategies for managing large volumes of geospatial and visual data, focusing on storage organization, pipeline reliability, and inference efficiency.Establish and refine best practices for model deployment and system architecture.
Full-time|$135K/yr - $160K/yr|On-site|Chicago, Illinois, United States
Join ColdQuanta as a Quantum Software Engineer, where you will harness your expertise in quantum-inspired classical machine learning and quantum machine learning (QML). In this pivotal role, you will develop cutting-edge ML models and algorithms utilizing tensor networks and other structured representations to support applications in quantum computing and quantum sensing platforms.As part of our innovative Quantum Software division, you will collaborate closely with teams across quantum computing and sensing hardware and algorithms to create scalable learning architectures that function within hybrid classical–quantum workflows. The ideal candidate will possess robust foundations in machine learning and mathematical physics, complemented by hands-on experience in crafting novel model architectures for structured, high-dimensional data.This position offers a unique opportunity to influence next-generation ML techniques that bridge classical and quantum paradigms for real-world applications.
Full-time|$200K/yr - $225K/yr|On-site|Chicago, United States; New York, United States
Join us at imc as we push the boundaries of technology by deploying machine learning directly onto custom hardware. This is an exceptional opportunity for you to build innovative solutions from the ground up, influence our technical research direction, and witness your contributions make a significant impact in one of the world's most demanding computing environments.At imc, we develop our own hardware, software, and infrastructure, which empowers you to tackle bottlenecks directly without waiting on vendors or dealing with restrictive abstraction layers. If you are eager to explore the limits of computational possibilities, we invite you to apply. We are looking for both researchers and seasoned engineers from diverse backgrounds. Prior trading experience is advantageous but not necessary.
Join our dynamic team at Arrive Logistics as a Senior Machine Learning Operations Engineer, where you will play a pivotal role in optimizing our machine learning processes and enhancing operational efficiency. You will be responsible for deploying machine learning models into production, monitoring their performance, and collaborating with data scientists to ensure seamless integration with our existing systems.Your expertise in cloud computing and machine learning frameworks will be crucial in driving innovation and improving our logistics solutions. If you're passionate about leveraging technology to solve real-world problems and thrive in a fast-paced environment, we want to hear from you!
Join Inspire11 as a Machine Learning Engineering ConsultantAt Inspire11, we pride ourselves on being a team of curious, intelligent, and resourceful individuals committed to delivering exceptional quality. We foster a collaborative environment that encourages innovation and accountability. Our success is tightly aligned with the success of our clients, as we partner to simplify complexities, solve sustainable challenges, and continuously elevate our thinking. Value creation is not just a concept for us; it is an integral part of our daily operations.If you are ready to make a transformative impact and thrive in a space that values bold ideas and unique perspectives, Inspire11 is the place for you.
About CoinflowCoinflow is an innovative payments company based in Chicago, transforming the way money is transacted globally. We empower merchants and marketplaces to accept various payment methods across over 170 countries, ensuring instant settlements, leveraging AI for fraud prevention, and providing blockchain-based proof of delivery.With backing from top investors like Pantera Capital, CMT Digital, Coinbase Ventures, Jump Capital, and Reciprocal Ventures, Coinflow has recently secured $25M in Series A funding, propelling our mission to revolutionize cross-border payments.Since our inception in 2024, we have experienced remarkable growth, achieving a 23x increase in revenue and reaching a multi-billion-dollar annual transaction volume run rate!Role Overview:We are looking for a passionate Machine Learning Engineer to join our team, responsible for developing the intelligence layer that drives our platform. As our first dedicated ML hire, you will have the unique opportunity to shape how data and machine learning practices are integrated throughout Coinflow. You will analyze extensive transaction and behavioral data, create models and analytical systems, establish success metrics, and incorporate intelligence directly into our products and internal tools.The ideal candidate thrives on curiosity, is eager to experiment, and is driven to build innovative solutions that are yet to exist.Key Responsibilities:Design and refine machine learning models and analytical systems that enhance platform decision-making and product intelligence.Establish foundational practices for data and machine learning across the organization.Define, manage, and evolve key performance metrics related to platform health, performance, and risk.Investigate transaction and behavioral data to identify patterns, signals, and valuable insights.Collaborate closely with Engineering, Product, and Operations teams to transform open-ended challenges into concrete systems.Develop methodologies for evaluating, enhancing, and ensuring the reliability of models and data systems over time.Create internal workflows and tools that support operational and product teams.Contribute to shaping Coinflow’s long-term data and machine learning strategy.
Full-time|$211.3K/yr - $385K/yr|On-site|Austin, Texas, United States; Chicago; Palo Alto, California, United States
Upwork Inc. connects businesses with skilled professionals in AI, machine learning, software development, sales, marketing, customer support, finance, and accounting. The company’s platforms, including the Upwork Marketplace and Lifted, help organizations of all sizes find and manage freelance, fractional, and payrolled talent for a range of contingent work needs. Upwork supports both large enterprises and entrepreneurs in sourcing talent and implementing AI-driven solutions. The company’s network covers more than 10,000 skills, enabling clients to scale and adapt their workforce for changing business demands. Since launch, Upwork has processed over $30 billion in transactions. The company’s mission centers on expanding opportunities at every stage of work. Learn more Visit the Upwork Marketplace: upwork.com Learn about Lifted: go-lifted.com Connect on LinkedIn, Facebook, Instagram, TikTok, and X Follow Lifted on LinkedIn
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.
Make a Meaningful ImpactAs an Applied Machine Learning Engineer at Strata, you will be at the forefront of innovation, collaborating with architects, data scientists, AI developers, platform engineers, and product teams to integrate cutting-edge AI and ML capabilities into our healthcare platform. Your contributions will be pivotal in driving advancements in generative AI and beyond, as you employ a diverse array of machine learning techniques to tackle complex healthcare challenges. By developing next-generation AI agents, algorithms, and computational engines, you will play a crucial role in enhancing Strata's market leadership, streamlining operational efficiency, and empowering healthcare providers to deliver top-notch care while ensuring financial sustainability.A Day in Your RoleTransform the latest research (e.g., arXiv papers) into practical, production-ready solutions using Python.Prototype and refine machine learning models, focusing on regression, causal inference, optimization, and vector embeddings.Work collaboratively with cross-functional teams to seamlessly embed ML and AI functionalities into our software platform.Teaming up with data scientists, you will design experiments and apply statistical methods to analyze real-world data.Optimize, test, and scale ML models to support essential healthcare analytics.Our Technology EcosystemOur core platform serves over half of the nation's leading healthcare providers, enabling them to harness financial, operational, and clinical data effectively. Our AI and ML technology stack encompasses:Programming Languages & Libraries: Python, PyTorch, NumPy, Pandas, Polars, PyMCInfrastructure: AWS, Snowflake, Docker, GitHubTechniques & Tools:Regression (both Bayesian and non-Bayesian)Vector embeddings, similarity analysis, clustering techniquesCore statistics and distributions for exploratory data analysis (EDA)Optimization strategies (multi-armed bandit, mixed integer programming)Causal inference and probabilistic modeling
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.
Full-time|$175K/yr - $250K/yr|On-site|Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia
Join IMC as a Machine Learning Engineer, where you will be instrumental in developing and deploying advanced machine learning models that enhance our global trading operations. Collaborate with top-tier researchers, hardware specialists, and software engineers to create innovative solutions that leverage GPU acceleration, distributed computing, and cutting-edge open-source technologies. Your contributions will significantly impact our trading strategies by streamlining experimentation cycles, fostering a culture of continuous improvement and innovation. This is a rare opportunity to tackle challenges at the convergence of machine learning and trading, allowing you to leave a lasting mark on the future of IMC's technology and trading prowess.
Role Overview ServiceNow is hiring a Principal Machine Learning Engineer focused on VoIP Infrastructure in Chicago. This position centers on building and improving systems that support reliable, high-quality voice over IP services. What You Will Do Develop and refine machine learning models to enhance VoIP system performance and reliability Design algorithms that address challenges in voice communication technology Work closely with teams across disciplines to deliver robust solutions for communication infrastructure Collaboration This role involves regular collaboration with cross-functional groups to shape the future of ServiceNow's communication technology.
Full-time|On-site|Chicago, Illinois, United States
Join Spoton as a Staff AI Engineer and take the lead in developing cutting-edge AI solutions that revolutionize the customer experience. As part of our innovative team, you will collaborate with cross-functional teams to design, implement, and optimize AI models that drive impactful business decisions.
Full-time|Remote|Denver, CO; Seattle, WA; Chicago, IL (Remote); United States (Remote);
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.
About DeepWalkDeepWalk is an innovative and rapidly expanding company dedicated to enhancing urban safety through advanced computer vision technology. Our solutions help cities monitor and maintain their sidewalks effectively. We are currently engaged in numerous contracts with municipalities, universities, and engineering firms.Over the past year, we’ve analyzed extensive sidewalk footage across more than 20 states, producing millions of labeled data points that inform critical infrastructure decisions. With a recent funding of $4.1M, including a $2.1M seed round led by Enable Ventures, we are generating 7-figure revenues that positively impact communities nationwide.Role OverviewWe are looking for a Lead Software Engineer to spearhead the technical vision of DeepWalk’s automated sidewalk inspection platform. This pivotal role will focus on solving complex, large-scale challenges related to imagery processing, production ML systems, and robust data pipelines that manage hundreds of terabytes of data.You will significantly influence how we process, analyze, and derive insights from millions of images, aiding cities in their pursuit of safer and more accessible infrastructure.In this position, you will collaborate with a team of seasoned engineers, guiding the technical direction and establishing scalable practices for the team.Our technology stack centers around Python-based CV/ML systems hosted on AWS, complemented by data pipelines and services engineered to accommodate vast amounts of imagery and geospatial data. We also create and maintain user-friendly web and mobile applications that allow our clients to scan and visualize their data.
Full-time|On-site|Chicago, Illinois, United States
Role Overview Ripple is hiring a Staff Software Engineer in Chicago, Illinois. This role focuses on building software that advances Ripple’s blockchain technology. The position involves designing and developing applications that scale, perform reliably, and respond quickly to user needs. What You Will Do Develop software solutions that support Ripple’s blockchain products Work closely with teams across engineering, product, and other functions Ensure applications deliver strong performance and responsiveness Apply deep software development experience to solve complex technical challenges Impact This role helps shape the future of finance by building technology that supports Ripple’s mission.
As a Principal Machine Learning Scientist at Turnitin, you will play a pivotal role in shaping the future of our innovative products by leveraging the power of Machine Learning. Our ambitious product roadmap offers exciting opportunities for you to collaborate with a global team of inquisitive and skilled scientists and engineers. Together, we are committed to integrating state-of-the-art Machine Learning systems into a comprehensive range of educational products that enhance learning, teaching, and academic integrity.Your work will impact hundreds of thousands of instructors and millions of students worldwide. With billions of papers submitted to the Turnitin platform and millions of assessments graded across Gradescope and Examsoft, your contributions will have a significant global reach. You'll be at the forefront of our AI Writing detection systems, providing automated feedback on student writing, and revolutionizing assessment creation and grading while playing a vital role in our backend processes.Key ResponsibilitiesDevelop and deploy novel ML models and solutions, particularly in areas where pre-existing solutions are not available.Utilize deep understanding of machine learning mathematics and deep neural networks to create innovative model architectures, loss functions, and training methodologies.Stay updated on the latest advancements in AI and Deep Learning and apply these insights to your projects.Write production-level code, ensuring models are ready for deployment across our products.Train large-scale models, utilizing multiple GPUs and nodes, while optimizing for computational efficiency.Conduct thorough dataset exploration, generation (including synthetic data), design, construction, and analysis.Prepare and deliver presentations on your work internally and contribute to publications in peer-reviewed venues.
Join Turnitin, a pioneering leader in the global education sector, where we have spent over 20 years collaborating with educational institutions to uphold principles of honesty, consistency, and fairness in assessments across all subjects. Our innovative products and services are utilized by more than 16,000 academic institutions, publishers, and corporations.At Turnitin, our default working model is remote, reflecting our respect for diverse cultures and personal choices. Headquartered in Oakland, our global presence includes offices in Dallas, Pittsburgh, Newcastle (UK), Stockholm (Sweden), Cologne (Germany), and Amsterdam (Netherlands). We cherish diversity and are committed to creating a community where every employee has equal access to learning and career opportunities, fostering a unique approach to talent recruitment from various backgrounds.As a Senior Machine Learning Scientist, you will play a crucial role in our ambitious product roadmap, working within a global team of dedicated scientists and engineers. Together, we aim to deliver innovative, well-engineered Machine Learning systems that integrate seamlessly into a wide array of learning, teaching, and integrity products.Your contributions will impact educators and students worldwide, as our Machine Learning technologies reach hundreds of thousands of instructors and millions of learners. With billions of papers submitted to the Turnitin platform and hundreds of millions of assessments graded on Gradescope and ExamSoft, your work will be at the forefront of revolutionizing educational tools.Key Responsibilities:Collaborate with subject matter experts and product owners to identify research questions and actionable insights.Curate, generate, and annotate datasets while adhering to responsible data collection and model maintenance practices.Translate raw data into trainable datasets using efficient SQL queries and scripting, visualizing results as needed.Develop and optimize machine learning models, ensuring robustness and readiness for production environments.
Full-time|$160K/yr - $210K/yr|Remote|Chicago or Remote*
Disclaimer: Please note that the most accurate and up-to-date information regarding our open positions—including job descriptions, compensation, and benefits—can only be found on our official job board. For the latest updates and details, please visit: https://job-boards.greenhouse.io/ninjatrader.JOIN US IN OUR DRIVE TO BECOME THE LEADING RETAIL TRADING PLATFORM GLOBALLYWelcome to NinjaTrader, a forefront player in the trading platform and futures brokerage arena! We empower traders to seize control of their financial futures through innovative products and services designed to enhance their trading experience. Whether you're an experienced trader or just starting, NinjaTrader provides award-winning tools and brokerage services to help you navigate the world's premier financial markets with confidence. Our remarkable growth story began in 2003, with a commitment to understanding and supporting traders on their journey to success. As a result, our user base has expanded to over 2 million, establishing us as the top-rated futures brokerage worldwide. We are not resting on our laurels; we continuously innovate, challenge the status quo, and modernize the futures industry. Our dedication to innovation guarantees that our users always have access to dynamic tools, real-time support, and a thriving community of like-minded traders.