Senior/Staff Software Engineer - Machine Learning at DeepWalk | Chicago

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, un…

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 miles of sidewalks across over 20 states, generating millions of labeled data points critical for real-world infrastructure planning. With a funding of $4.1M and a recent $2.1M seed round led by Enable Ventures, we are on a trajectory of significant growth, currently achieving seven-figure revenues and making a tangible impact in communities nationwide.Your RoleAs a Staff Software Engineer at DeepWalk, you will guide the technical strategy for our cutting-edge computer vision platform, focusing on automated sidewalk inspections. This role will challenge you to solve complex, high-stakes problems involving extensive imagery, production-grade ML systems, and robust data pipelines capable of handling hundreds of terabytes of data.You will collaborate with a team of seasoned engineers, influence the technical direction, and help establish scalable practices that enhance our operational efficiency.Our current tech stack comprises Python-based CV/ML systems on AWS, optimized for processing vast amounts of geospatial and visual data.

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.

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.

About DeepWalkDeepWalk is an innovative and rapidly expanding venture dedicated to enhancing urban safety through cutting-edge computer vision technology. Our mission is to provide cities, universities, and engineering firms with precise data to map and monitor sidewalks effectively.In the past year, we've successfully analyzed thousands of miles of sidewalks across more than 20 states, generating millions of labeled data points that inform critical infrastructure decisions.Your RoleWe are on the lookout for enthusiastic, tech-savvy individuals to join our field team for a seasonal project focusing on infrastructure within the Chicago metropolitan area. As a Sidewalk Data Collector, you will play a pivotal role in assessing the city's walkability while contributing to local engineering and accessibility initiatives. This position is ideal for those who thrive in an active, outdoor work environment.Key ResponsibilitiesField Data Collection: Navigate assigned routes on foot to gather high-resolution imagery and spatial data of sidewalks and pedestrian paths using DeepWalk's specialized equipment.Asset Inspection: Identify and document sidewalk infrastructure issues, such as trip hazards, utilizing DeepWalk's proprietary technology.Technical Operation: Operate DeepWalk-provided devices, including iPhones and other scanning equipment, to collect data efficiently.Safety & Logistics:Wear a provided Class II safety vest for high visibility while working near roadways.Participate in scheduled check-ins to ensure safety and compliance.Reporting:Keep track of work schedules and ensure all necessary locations are accurately documented.Verify accuracy and upload collected data daily.Flexibility: Adapt to additional scanning tasks as required.Compensation & PerksCompetitive Pay: $22.00–$28.00 per hour.Incentives: Performance-based project bonuses.

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.

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 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.

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.

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.

Join us in a hybrid role at our Chicago office, where you’ll be expected to work onsite every Tuesday and Thursday.Why is this position exciting?Become an integral part of the next evolution of the Grindr app! As a member of our iOS team, you’ll tackle complex challenges, engage with cutting-edge technologies, and collaborate with an inspiring group to contribute to a truly unique app that serves the LGBTQ community at scale.What will you be doing?Collaborate with a talented, cross-functional team across different time zones to enhance the Grindr experience for users.Utilize strategic thinking to navigate ambiguity and drive innovation across multiple workstreams.Lead data-driven decisions to adopt innovative technologies, architectures, and workflows.Elevate team capabilities by mentoring and promoting the adoption of new tools and methodologies.Utilize Swift, Xcode, RxSwift, Combine, Async/Await, SwiftUI, Bitrise, Fastlane, and GitHub to evolve and maintain a robust software architecture that meets present and future demands for consumer-facing mobile products, aligning with the product roadmap.What we value in you:You take initiative and think strategically, implementing impactful changes across the organization.You possess a minimum of 6 years of experience in developing complex iOS applications.Your technical background inspires creativity and innovation among team members.You have a proven track record in product leadership and technical decision-making, enabling sound judgments on product and code trade-offs.You work closely with diverse business stakeholders, from C-suite executives to VPs and beyond.You are adept at deep technical coding while also contributing to long-term team initiatives through mentorship.You have a strong understanding of software engineering best practices and design patterns such as MVVM, Coordinator, one-way data flow, and more.

Join the Revolution in Sports Betting ContentAs online sports betting content surges in popularity, the user experience remains fragmented and chaotic. At DubClub, we aim to transform this landscape by building a cohesive platform that connects expert sports handicappers with passionate fans, creating a community where trust thrives and workflows are streamlined.Our VisionDubClub is the ultimate destination for cappers and fans to Win More Together.For Fans: Enjoy a seamless and rewarding experience as you follow expert cappers, gaining insights and advice that enhance your betting strategies.For Cappers: Leverage DubClub's innovative tools to grow your audience and turn your passion into profit with a top-tier operating system and automated marketing solutions.For DubClub: Foster a vibrant ecosystem that keeps fans engaged through rewards, community interactions, and ongoing discovery, even after a losing streak.Your RoleWe are seeking a Staff Software Engineer to join our dynamic team in Chicago. This senior individual contributor role will empower you to take ownership of projects from inception to launch, delivering impactful features to millions of enthusiastic users.You will work closely with our founders and go-to-market leaders to identify key opportunities, define project scope, and execute timely feature launches. Your goal: to maximize user value through speed, craftsmanship, and a deep understanding of the industry.

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 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.

Each year, companies allocate over a trillion dollars to freight movement throughout the U.S., yet the system for connecting trucks with jobs remains inefficient and disjointed. FleetWorks is revolutionizing this.We are developing intelligent voice agents that streamline the chaotic freight booking process, transforming it into a modern, efficient marketplace. Our agents eliminate the need for countless phone calls, texts, and emails by connecting truckers eager to earn with loads requiring transport.We are expanding our engineering team in Chicago, a key hub for our clients and the epicenter of U.S. freight operations. In this position, you will be an integral part of our core engineering team, directly engaging with the environments where our product impacts real-world operations. You will create production features, design integrations within complex customer systems, and develop internal tools and platform components that facilitate efficient scaling of our deployments.If you are a proficient software engineer eager to engage directly with users, tackle ambiguous challenges in real-time, and witness your code powering live operations within days, this role offers a uniquely impactful opportunity.Discover our Series A funding details here!

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 CoinflowCoinflow, a trailblazer in the payments industry, is based in Chicago and is at the forefront of transforming global financial transactions. We empower merchants and marketplaces to accept a variety of payment methods across more than 170 countries, offering instant settlements, AI-driven fraud prevention, and blockchain-based proof-of-delivery.Having secured backing from prominent investors such as Pantera Capital, CMT Digital, Coinbase Ventures, Jump Capital, and Reciprocal Ventures, Coinflow has recently completed a $25M Series A funding round to propel our mission of modernizing cross-border payments.Since our initial funding in 2024, we have experienced tremendous growth, achieving a remarkable 23x increase in revenue and reaching a multi-billion-dollar annual transaction volume run rate!About The RoleWe are on the hunt for a Senior Software Engineer who will play a pivotal role in constructing the core infrastructure that underpins our global payment systems. In this role, you will design and implement systems that manage billions in transactions while collaborating with Product teams to define our offerings, partnering with fellow engineers to refine our methodologies, and taking significant ownership of the systems you develop.What You'll DoBuild Core Payment InfrastructureDesign and implement high-throughput payment processing systems that meet stringent reliability standards.Create APIs and SDKs that facilitate merchant integration with Coinflow.Develop advanced fraud detection and risk management features leveraging real-time data analytics.Scale Our PlatformArchitect systems to ensure performance, reliability, and observability as we scale.Enhance database queries, caching strategies, and service communication for optimal performance.Implement monitoring, alerting, and debugging tools for production systems.Ship Product FeaturesManage end-to-end feature development from technical design to deployment.

FleetPulse™ stands at the forefront of trailer telematics, providing unparalleled visibility into trailer safety and cargo security through our innovative, OEM-agnostic telematics solutions.Headquartered in Chicago, Illinois, FleetPulse merges extensive experience in the trucking industry with top-tier technology expertise to deliver state-of-the-art telematics solutions. Our diverse portfolio includes OEM-installed sensors, user-friendly aftermarket sensors, and advanced cargo cameras. The data harvested directly from trailer sensors and components fuels real-time, proprietary insights via a digital dashboard, empowering our clients to optimize utilization, enhance safety, and minimize maintenance costs.At FleetPulse, we cherish our workforce as our most valuable asset. We cultivate a collaborative, innovative, and supportive atmosphere where each team member significantly contributes to our collective success. By joining FleetPulse, you will be part of an organization dedicated to revolutionizing the transportation sector while appreciating the unique talents of each individual.Please note: This position requires on-site work in Chicago, IL, and we do not offer relocation assistance.