Staff Machine Learning Engineer

Important Notice This Senior Forward Deployed AI Engineer position at webAI is a direct, full-time role, not tied to specific project funding. Role Overview webAI seeks a Senior Forward Deployed AI Engineer to support Public Sector initiatives focused on building and improving AI systems for secure, distributed environments. This position blends machine learning, systems engineering, and deployment work, helping move AI research into real-world use. Core work includes transforming prototype models into scalable, reliable production systems that perform well on a range of hardware, from government cloud platforms to edge devices, even in restricted or offline scenarios. Candidates based in Austin, TX or the Washington, D.C./Northern Virginia area are preferred. Fully remote work may be possible in some cases, but those outside Austin could need to travel to headquarters occasionally. Travel up to 25% may be required, including on-site visits for deployment, troubleshooting, and integrating the platform at customer locations. Key Responsibilities Work directly with clients to define, implement, and support AI solutions in production environments. Design, build, and deploy intelligent workflows that enable multi-step reasoning, tool use, and decision-making within production systems. Debug and improve data pipelines and AI systems operating on client networks. Translate complex or ambiguous client needs into clear technical solutions. Contribute across the stack, from running model inference on consumer hardware to automating infrastructure. Review hardware schematics and logs to identify performance bottlenecks and suggest improvements. Serve as a technical advisor to enterprise clients, acting as the external face of the engineering team. Share feedback and insights with internal teams to help refine and improve products.

Who is SonarSource?At SonarSource, we are dedicated to enhancing code quality and security while boosting developer productivity through innovative AI solutions. Our platform examines all code—whether it's authored by your internal team, generated by AI, or supplied by third parties—ensuring the creation of secure, reliable, and maintainable applications. With roots in the open source community, SonarSource supports over 30 programming languages, frameworks, and infrastructure technologies. Over 7 million developers and 400,000 organizations globally, including prominent names like the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile, trust our solutions.We pride ourselves on building exceptional products backed by a strong internal culture. Our team is deeply committed and passionate about our mission, our users, and each other. We uphold high standards, holding ourselves accountable for positivity, dedication, thoughtfulness, empathy, and daily passion.Our decision-making is deliberate and clear, yet we operate with a sense of urgency and agility.As a unified team, we strive for effectiveness and operational efficiency in achieving our goals.At SonarSource, CODE is not just an acronym — it embodies our operational ethos.Why You Should Join Us:We are a vibrant team of talented professionals determined to empower developers to create better software more efficiently. Our solutions continuously enhance code quality and security, alleviating developer burdens, allowing them to focus on their passions. We address root causes rather than just symptoms, ensuring high-quality output across all types of code.Our dynamic culture spans the globe with offices in the USA, Switzerland, the UK, Singapore, and Germany. We foster an environment where every team member feels proud of their work, energized by their colleagues, and excited to contribute to a mission that truly matters: supercharging developers.Your Impact:As a key technical architect, you will guide our strategic enterprise clients and partners in implementing and deploying our machine learning solutions. As one of the pioneering Forward Deployed ML Engineers, you will play a crucial role in shaping our ML offerings for organizations focused on quality, security, and operational excellence.

Role Overview Runetech is looking for a Forward Deployed Engineer in Austin, TX. This role focuses on bringing Runetech’s solutions to client sites and making sure they work smoothly in real-world settings. Success in this position depends on strong collaboration with teams across disciplines and a knack for understanding how clients operate. What You Will Do Deploy Runetech technology directly to client environments Work side by side with cross-functional teams to gather requirements and solve problems Integrate Runetech products into client workflows, adapting as needed for each situation Tackle technical challenges that come up during deployment and integration Who Thrives Here Engineers who enjoy solving complex problems on site People who care about delivering strong results for clients Those comfortable working closely with both technical and non-technical teams

Forward Deployed EngineerLocation: Austin, TX (On-site, with up to 50% travel)Clearance Requirement: U.S. Citizen with the ability to obtain a security clearanceAbout NODANODA is a veteran-owned, venture-backed technology firm revolutionizing the collaboration of unmanned systems in complex, mission-critical scenarios. Our cutting-edge solutions facilitate the autonomous orchestration of diverse unmanned systems across air, sea, land, and space, with essential applications in defense, intelligence, and commercial sectors.As a Forward Deployed Engineer, you will act as a crucial liaison between our orchestration platform and real-world deployment settings, crafting software integrations that ensure seamless collaboration among various autonomous systems.Joining NODA offers the opportunity to work on impactful technology that expands the frontiers of autonomy, alongside a team dedicated to innovation, rapid iteration, and collaboration.The RoleWe seek a Forward Deployed Engineer to spearhead the software integration and deployment of our multi-domain autonomous orchestration platform in collaboration with customers and partners. This position centers on developing the adapters, interfaces, and integration layers necessary to connect our orchestration engine to a variety of autonomous vehicles, sensors, and third-party systems in operational landscapes.You will engage at the intersection of our core platform and customer/partner ecosystems, converting high-level orchestration tasks into platform-specific commands, integrating environmental data into our world model, and deploying our software in complex, constrained network conditions. This role is software-centric, requiring strong full-stack engineering capabilities, systems integration know-how, and the ability to work independently within customer and partner facilities.While a significant portion of your time will be dedicated to deployment and integration tasks, you will also play a strategic role in enhancing our core platform, contributing to shared libraries, reusable integration components, and deployment tools that expedite future integrations. You will serve as a direct conduit between customer requirements and platform development, relaying product needs back to our core engineering teams.Key ResponsibilitiesSoftware Integration & DeploymentCreate adapters and translation layers that interface our orchestration platform with various autonomous vehicle control protocols and APIs (MAVLink, custom vehicle APIs, etc.)Design interfaces for new sensors and payloads.

Forward Deployed Engineer (Delta) About Acrisure Acrisure stands as a pioneering force in the global fintech landscape, providing tailored solutions that empower businesses and individuals to achieve remarkable growth and impact. Our approach seamlessly integrates advanced technology with expert human support, enabling us to offer customized insurance, reinsurance, payroll, benefits, cybersecurity, mortgage services, and much more. Over the past twelve years, Acrisure has transformed from a $38 million revenue company to nearly $5 billion, employing over 19,000 talented individuals across more than 20 countries. Our entrepreneurial culture fosters leadership, accountability, and collaboration, empowering our teams to tackle significant challenges and excel in their endeavors. Role Summary & Mission The Forward Deployed (Delta) Engineer serves as a key architect within the Palantir Center of Excellence, driving active development, ensuring quality delivery, and adhering to technical standards. While the FD Partner focuses on outcomes, the FD Delta prioritizes the quality and speed of deliverables. Collaborating within dynamic teams, FD Deltas convert use case requirements into robust Palantir solutions on Foundry and AIP, ensuring rapid delivery without compromising engineering rigor for sustainable results. This role suits a hands-on, technically proficient engineer eager to work at the intersection of intricate business domains and state-of-the-art data platform development. FD Deltas are recognized as the leading technical experts within their teams, expected to uphold CoE standards while exploring the full potential of Palantir's toolset. Travel Requirement: This is a Forward Deployed position, requiring travel between 10-30% of the time (approximately 2-6 nights per month), with variability in travel frequency.

Job OverviewWe are on the lookout for a detail-oriented and mission-centric Operations Specialist to bolster our Forward Deployed Engineering (FDE) team. This pivotal role marries operational excellence with program-level project management, ensuring that each FDE initiative, from field demonstrations to internal development sprints and customer deployments, is executed with the utmost precision and clarity.Your role will empower our engineers to concentrate on impactful technical work by managing logistics, tracking requirements, and overseeing project schedules and budgets through effective cross-functional collaboration. You will take on both tactical and strategic responsibilities, acting as a key partner to the FDE Manager in a chief of staff and project manager capacity.

Forward Deployed Engineer (Echo)About AcrisureAcrisure stands as a prominent global fintech leader committed to empowering forward-thinking businesses and individuals with bespoke solutions that foster growth and create a lasting impact. By merging innovative technology with expert human support, we provide tailored services in insurance, reinsurance, payroll, benefits, cybersecurity, mortgage services, and more.In just over a decade, Acrisure has skyrocketed from $38 million in revenue to nearly $5 billion, employing over 19,000 colleagues across more than 20 countries. Our foundation is built upon an entrepreneurial spirit, emphasizing leadership, accountability, and collaboration — empowering our teams to tackle significant challenges and operate at their highest potential. Role Overview & MissionThe Forward Deployed Engineer (Echo) serves as the sustainability engine within the Palantir Center of Excellence. While FD Delta focuses on building solutions and FD Partner drives value, FD Echo ensures that what has been constructed continues to operate effectively — at scale, consistently, and with increasing business integration over time. This role takes charge of solutions during productionalization and is vital in preventing capability atrophy, which refers to the gradual decline in value when solutions are not maintained, improved, or integrated into business operations.The FD Echo position is distinct and crucial, blending technical expertise with operational and enablement competencies. It is ideally suited for engineers motivated by the challenge of creating enduring solutions, rather than merely functional ones.This is a Forward Deployed role, requiring travel between 10-30% (approximately 2-6 nights per month) on average, with fluctuations depending on project needs. Key ResponsibilitiesCollaborate with FD Delta on productionalized solutions, assuming responsibility for sustainability, ongoing performance, and business uptake.Design and update Productization & Lifecycle Management plans for all solutions under your purview — encompassing versioning, dependency management, and sunset criteria.Utilize Palantir Foundry observability tools and AIP Observability to monitor solution health metrics; proactively identify degradation signals and initiate tuning cycles as needed.Work closely with business unit teams to promote user adoption, build user confidence, and uncover expansion opportunities within productionalized capabilities.Create and curate enablement materials — including documentation, training guides, and reusable templates — to gradually lessen reliance on CoE engineering resources.Support the Recurring Value Realization process for assigned use cases.

Special Notice This is a full-time position at webAI in Austin, TX. Employment is not tied to project awards or external funding. Role Overview webAI seeks a Senior Machine Learning Engineer to strengthen its Public Sector work. The focus: building and refining production-ready AI systems designed for secure, distributed environments. This role centers on moving models from prototype to reliable, scalable deployment, supporting government cloud platforms and edge devices, even where connectivity is limited or absent. What You Will Do Design and implement agentic workflows for multi-step reasoning, tool use, and automated decision-making in production systems. Convert research AI models into scalable systems used in real-world applications. Develop adaptive machine learning solutions using LoRA, PEFT, and on-device inference. Work with frameworks like PyTorch, TensorFlow, and Hugging Face Transformers to create, fine-tune, and optimize models. Apply model optimization methods such as quantization, pruning, distillation, and hardware-specific acceleration. Build and manage Retrieval Augmented Generation (RAG) pipelines, including integration with vector databases for contextual retrieval. Collaborate with multi-modal AI systems across computer vision, audio, and natural language processing domains. Improve model performance for distributed and resource-constrained environments, ensuring systems remain dependable under different connectivity scenarios. Requirements Active US Security clearance. At least 4 years of experience in applied AI, machine learning engineering, or production AI systems. Strong proficiency with PyTorch, TensorFlow, or Hugging Face Transformers. Hands-on experience deploying AI models to cloud, edge, and mobile hardware. Expertise in model compression and optimization (quantization, pruning, distillation). Background in building RAG pipelines and integrating vector databases.

Join Our Team as a Forward Deployed Partner in Austin, TX!About AcrisureAcrisure stands at the forefront of global fintech, providing innovative solutions that empower businesses and individuals to achieve significant growth. We leverage state-of-the-art technology alongside expert human support to offer customized services including insurance, reinsurance, payroll, benefits, cybersecurity, mortgage services, and more.In just over a decade, Acrisure has transformed from a $38 million revenue company to a powerhouse generating nearly $5 billion in revenue, with a team of over 19,000 professionals across more than 20 countries. Our entrepreneurial spirit drives us to prioritize leadership, accountability, and collaboration, enabling our teams to tackle complex challenges effectively.Role OverviewThe Forward Deployed Partner is a pivotal role within the Palantir Center of Excellence, designed for those who thrive at the intersection of technology and business strategy. This is not merely a relationship management position; instead, it demands a senior, technically adept practitioner who excels in both building solutions in Palantir Foundry and AIP as well as delivering strategic recommendations to executive stakeholders. You will be instrumental in managing business relationships, defining value agendas, and actively contributing to solution delivery.As a Forward Deployed Partner, you will lead development teams, tackle complex use cases, and be accountable for adoption and ROI across your assigned portfolio. Your ability to articulate technical concepts to senior executives, alongside hands-on proficiency in Foundry and AIP, will be crucial for your success. You will directly oversee FD Delta and FD Echo engineers, ensuring effective delivery and problem resolution.Travel RequirementsThis role requires travel, averaging between 10-30% (approximately 2-6 nights per month), with fluctuations based on project needs.Key ResponsibilitiesDevelop and enhance solutions in Palantir Foundry and AIP, focusing on data pipelines, Ontology modeling, Workshop applications, and AIP agent workflows, particularly for strategic and prototype use cases.Facilitate technical design sessions and architecture discussions within your team, acting as the senior technical authority for FD Delta engineers.Maintain hands-on expertise in Foundry (Pipeline Builder, Code Repositories, Ontology, Workshop, OSDK) and AIP (Agent Studio, Logic, Evals) to troubleshoot delivery issues and ensure high-quality outputs.

Join Bumble Inc. as a Lead Machine Learning Engineer and drive innovation in our cutting-edge technology team. In this pivotal role, you will lead the design and implementation of machine learning algorithms, enhancing user experiences across our platforms. Collaborate with cross-functional teams to translate complex data into actionable insights, while mentoring junior engineers to foster growth and excellence within the team.

Join Avride as a Machine Learning Platform Engineer, where you will be at the forefront of developing cutting-edge machine learning solutions. In this pivotal role, you will collaborate with data scientists and software engineers to build robust ML infrastructure, driving innovation and efficiency.

At Bumble, we strive to foster a world where every relationship is both healthy and equitable. As an integral member of our AI & Matching team, you will be at the forefront of revolutionizing how millions of individuals connect, cultivate friendships, and discover meaningful relationships. Reporting directly to our SVP of AI & Data, your contributions will be pivotal in enhancing intelligent systems that provide safe, personalized, and engaging user experiences across all our platforms. In this influential individual contributor role, your work will tangibly influence product strategies, user trust, and large-scale business outcomes. You will operate with a profound sense of ownership and curiosity, advocating for innovative machine learning methodologies while exemplifying Bumble's core values of Curiosity and Excellence. From reimagining recommendation systems to integrating responsible AI standards, your efforts will help us push boundaries while remaining respectful of our global community. AI is central to our product evolution and internal capabilities. In this position, you will not only develop and scale advanced machine learning models, but also influence how AI is thoughtfully and responsibly implemented throughout the organization.

Join our innovative team at Allen Control Systems as a Machine Learning Data Engineer. In this pivotal role, you will leverage your expertise in machine learning, data processing, and engineering to design and implement data pipelines and algorithms that enhance our data-driven initiatives. You will collaborate closely with data scientists and software engineers to deliver cutting-edge solutions that drive business insights and efficiencies.

About Striveworks Striveworks helps organizations use artificial intelligence to solve real-world problems, especially in national security. Founded by data scientists and engineers, the company focuses on making AI deployment and ongoing optimization simpler and more reliable. Striveworks partners with clients to build systems that adapt, scale, and perform well in unpredictable situations, supporting critical operations and informed decision-making. Role Overview: Senior Machine Learning Engineer The Senior Machine Learning Engineer will take on a key position, contributing to both customer projects and Striveworks’ core product suite. This role involves working with the Chariot AIOps platform to create solutions that bridge data, models, and operational needs. Collaboration is central: expect to work closely with data scientists, software engineers, and DevOps professionals to turn machine learning models into real operational tools. This position is open to candidates in Austin, Texas or those seeking a remote arrangement. A hybrid option is available for those near the Austin office. Main Responsibilities Work with customers, engineers, and stakeholders to define requirements that align with client needs and leverage the AI operations platform. Develop machine learning models and analytics for various types of data, including images, video, text, geospatial, time series, and structured datasets. Automate and manage complex data engineering and analytics workflows. Contribute to the design and implementation of core product features. Participate in mission-critical fieldwork as opportunities arise. Who Thrives Here This role suits engineers with a strong technical background who enjoy building customer-focused solutions and collaborating across disciplines. Effective communication, a focus on delivering repeatable value, and a drive to solve practical challenges are essential. Clearance Requirement An active Secret clearance is required for this position.

Innovate, Deploy, and Sustain AI Solutions for a Dynamic EnvironmentAt Striveworks, we empower organizations to leverage artificial intelligence to address pressing national security and business challenges. Serving as the pivotal hub connecting data, models, and impactful business results, we simplify the journey from deployment to continuous optimization.With Striveworks, companies are not merely implementing AI; they are developing robust systems that are trustworthy, versatile, and primed for growth in an unpredictable landscape. We understand that mission-critical operations demand models that not only excel in their deployed environments but also scale with increasing workloads and swiftly adapt as AI technologies evolve. Striveworks addresses these requirements, enhancing reliability and performance while reducing costs, thus fostering informed, data-driven decision-making in fast-paced settings.The OpportunityAs a Staff Machine Learning Engineer at Striveworks, you will be entrusted from day one to play a pivotal role and serve as a technical leader directly engaging with customers on key projects and the company’s strategic direction. Your mission-critical tasks will include designing AI-driven solutions, implementing them—from data preparation and ingestion through analysis to user delivery—and shaping future platform capabilities.You are an ideal candidate if you have a strong technical foundation and a desire to push your limits. Your enthusiasm for utilizing both software engineering and data science to tackle real-world issues is paramount. You should comfortably lead a team while directly executing vital components of the project and articulating the vision and results to customers.Your daily responsibilities will encompass:Collaborating with customers, engineers, and stakeholders to establish clear requirements that address customer challenges and exploit our AI operations platform's capabilities.Converting requirements into a technical approach, comprehensive design, scoping estimate, and execution strategy.Leading project teams to ensure timely delivery of project outcomes aligned with customer business objectives while making significant individual contributions throughout the process.Designing, orchestrating, and automating sophisticated data pipelines and algorithms within contemporary architectures (cloud, event-driven, microservices, etc.).Steering the creation of machine learning models and specialized analytics applied to image, video, text, geospatial, time series, and structured data.Identifying insights, opportunities, challenges, and feedback to enhance team practices and capture reusable functionality.

Avride develops autonomous vehicles and delivery robots across the United States, building and operating both autonomous cars and delivery robots with shared core technologies. The company focuses on advancing both fields together through integrated research and engineering. Internship overview The Machine Learning Engineer Internship in Austin, TX offers hands-on work with real driving data and exposure to advanced academic research. Interns join the Perception team, which interprets raw sensor data, including cameras, LiDAR, and microphones, to construct a detailed, real-time 3D view of the environment for autonomous vehicles. Each intern works directly with a senior mentor and contributes to projects that influence the safety and performance of Avride’s systems. The internship bridges theory and practice: interns help turn new concepts and system architectures into working prototypes, then assess their effectiveness in complex, safety-critical scenarios. What you will do Four distinct internships are available within the Perception team for Summer 2026. Projects focus on 3D perception and sensor fusion challenges in autonomous driving. Long-Tail 3D Entity Recognition via Pre-Trained 2D Models Lead efforts to address long-tail entity recognition, a persistent challenge in autonomous driving, by exploring how pre-trained, open-source 2D models can enhance 3D recognition tasks. Design and run simulation-based experiments to test whether models can identify rare or infrequent objects while maintaining precision. Work closely with a mentor to prototype and refine methods for integrating 2D model features into Avride’s perception stack. Present findings, including recall and precision trade-offs, and simulation methodologies, to Avride’s research and engineering teams at the conclusion of the internship. RGB-Only 3D Perception & RGB-LiDAR Fusion Take ownership of a targeted research project aimed at improving 3D perception by reviewing current literature on RGB-only approaches and developing hypotheses to advance sensor fusion techniques.

Join Our Innovative TeamAt avride, we are at the forefront of revolutionizing transportation through our cutting-edge autonomous vehicle technology. Our dedicated team is responsible for creating the essential software and data processing frameworks that enable motion planning and decision-making in self-driving cars. We thrive at the crossroads of machine learning, extensive data infrastructure, and real-time vehicle control, collaborating closely with engineering, analytics, and product teams to provide safe and intelligent driving solutions.Position OverviewWe are seeking a passionate and innovative Machine Learning Engineer to join our autonomous vehicle division. In this pivotal role, you will contribute to the development of intelligent systems capable of comprehending, predicting, and safely navigating the complexities of the real world. Your responsibilities will encompass designing and training advanced deep learning models that serve as the cognitive core of our vehicles, utilizing vast amounts of real-world driving data. If you have a keen interest in leveraging state-of-the-art ML techniques to tackle high-stakes robotics challenges, we encourage you to apply.Key ResponsibilitiesDevelop, train, and implement advanced machine learning models for behavioral prediction and motion planning.Create efficient data pipelines to process, cleanse, and annotate large-scale vehicle sensor and simulation datasets.Utilize deep learning architectures such as transformers to capture intricate temporal interactions among traffic participants.Define and manage metrics for model performance, establishing evaluation frameworks that align with on-road safety and efficacy.Collaborate with software engineers to integrate and optimize trained models for real-time inference on vehicle hardware.Keep abreast of the latest advancements in machine learning, imitation learning, and reinforcement learning, applying innovative methodologies to our systems.QualificationsExpertise in Python with practical experience in modern deep learning frameworks (e.g., PyTorch, TensorFlow, or JAX).Strong grasp of machine learning principles, including various neural network architectures, training techniques, and evaluation methods.Experience across the complete machine learning lifecycle, from data exploration and model prototyping to deployment and monitoring.Proficient in C++ for developing high-performance inference code for models.Preferred QualificationsDemonstrated success in ML competitions (e.g., Kaggle) or significant contributions to prominent open-source ML projects.Experience applying machine learning to real-world problems in robotics or autonomous systems.

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

Join Bumble Inc. as a Senior Machine Learning Engineer and contribute to our mission of creating meaningful connections. In this role, you will design, develop, and implement machine learning algorithms that enhance user experience and drive innovation. You will collaborate with cross-functional teams to deliver data-driven solutions and improve our platform's performance.