Machine Learning Engineer Internship

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 ha…

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.

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.

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.

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

Who We AreAt Arrive Logistics, we are a premier transportation and technology firm in North America, dedicated to substantial growth year after year. Our achievements reflect the strength of our exceptional team and the innovative solutions we are developing together. We prioritize delivering a meaningful work experience for our employees and have cultivated an award-winning culture that encourages personal and professional development within a fun, relaxed, and collaborative atmosphere. Now is the perfect time to join us, so read on to discover more and apply today!Who We SeekAs a Senior Machine Learning Operations Engineer at Arrive, you will play a pivotal role as a technical leader, responsible for defining, advancing, and executing our comprehensive machine learning platform strategy. This position involves driving and contributing to the quality and functionality of critical roadmap projects, which may include deploying models at scale and creating ML-powered services aimed at optimizing profitability.

About the TeamAt Avride, we are pioneering the future of transportation through our groundbreaking autonomous vehicle and delivery robot technology. Following the successful launch of our robotaxi service in Dallas, we are on a mission to accelerate innovation and transform mobility as we know it.Our dedicated team is at the forefront of building self-driving solutions from scratch, with machine learning as the cornerstone of our development process, enabling safe and intelligent navigation. We create and deploy cutting-edge models to tackle the significant challenges in autonomous systems, utilizing advanced deep learning architectures like Convolutional Neural Networks (CNNs), Transformers, and Multimodal Large Language Models (MLLMs). Your contributions will be vital in enhancing the performance, safety, and reliability of Avride's autonomous vehicles and delivery robots.

Role Overview Graphcore is hiring a Staff Engineer to lead validation of AI Compute Blades and Racks in Austin, Texas. This position centers on testing and validation to confirm that hardware performs to specification and meets reliability targets. What You Will Do Oversee and execute validation processes for AI Compute Blades and Rack systems Guide testing to ensure hardware delivers consistent, reliable performance Work closely with teams across engineering, product, and operations to address issues and drive improvements Support projects that advance AI hardware technology Collaboration This role works with cross-functional groups to identify problems, share insights, and help deliver robust AI compute solutions.

Join Avride, an innovative leader in autonomous mobility, as we develop cutting-edge self-driving vehicles and delivery robots. Our mission is to revolutionize transportation and logistics, with our Labeling Team playing a critical role in realizing this vision.The Labeling Backend Team is responsible for establishing the data infrastructure that drives our research and development efforts in labeling pipelines, data preparation workflows, and model training processes. The high-quality labeled data we produce is essential for advancing our core technologies and supports a variety of models that underpin our business.About the RoleWe are seeking a talented Research Engineer dedicated to enhancing the quality and representativeness of the datasets that fuel our self-driving systems. In this role, you will design algorithms and tools for auto-labeling, data mining, and dataset monitoring, leveraging your strong Python engineering skills alongside applied machine learning concepts. Your contributions will significantly improve data efficiency, reduce labeling costs, and elevate model performance.Key ResponsibilitiesCreate and implement algorithms that optimize annotation processes, including auto-labeling systems that minimize manual effort and maximize throughput.Develop data-mining and active-learning pipelines to identify the most valuable samples for training.Establish dataset-quality monitoring systems that detect noise, redundancy, and low-value data.Construct analytical platforms (databases, dashboards, reporting) to monitor dataset quality and coverage over time.Collaborate closely with ML and Perception teams to integrate research findings into production workflows.Investigate emerging methodologies (vision-language models, weak supervision, uncertainty estimation) to enhance dataset quality and automation.

IMPORTANT: Please be aware, scammers may try to impersonate Zello by reaching out regarding job opportunities. We will never ask you for bank account information, checks, or other sensitive information as part of our hiring process. All correspondence will come from the zello.com email domain. If you’re unsure, please email recruiting@zello.com with questions.About ZelloZello is a premier voice-first communication platform that leverages our cutting-edge push-to-talk technology to enhance collaboration and productivity for desk-less workers. With over 175 million users globally, we proudly stand as the leading push-to-talk app worldwide, facilitating an astonishing 9 billion messages each month.We are deeply committed to our core values, which guide our mission daily. We take pride in supporting frontline workers, connecting individuals during crisis situations around the world, and honoring our commitment to first responders.And this is where you come in.Zello's Data & AI team has successfully launched customer-facing AI features (such as the Ella assistant, AI Insights, message summaries, and AI-driven search) and is currently developing the internal AI infrastructure that will enhance the efficiency and effectiveness of all teams within the company. We are seeking an engineering intern who can tackle real operational challenges—such as support triage bottlenecks, manual data workflows, and fragmented internal knowledge—and create functional AI-powered tools. This is a hands-on role focused on building rather than merely observing or researching.The RoleYou will report to the Head of Data & AI, collaborating with the AI engineering team to design and implement internal productivity tools powered by LLMs, embeddings, and automation. The ideal candidate is someone who has independently built projects utilizing LLMs—not just because it was assigned, but out of genuine curiosity and a desire to see it come to fruition. You will have significant autonomy, real users, and tangible impact from your very first week.After a Successful Internship, You Will Have:Delivered at least two internal AI tools that are essential to Zello teams on a weekly basis—be it an automated triage agent, a CRM enrichment pipeline, an LLM-driven Slack workflow, or something entirely new.Made substantial contributions to Zello's AI platform infrastructure—such as enhancements to embeddings pipelines, RAG systems, evaluation frameworks, or reusable components for future projects.Dramatically reduced manual effort in at least one operational workflow, providing clear before-and-after metrics to demonstrate your impact.Created comprehensive documentation that enables others to easily understand and build upon your work.

Striveworks builds dependable AI systems for national security and business challenges. The team connects data, models, and operational needs, supporting organizations as they move from initial deployment to ongoing optimization. Their proprietary AIOps platform, Chariot, is central to delivering adaptable solutions that perform reliably in changing environments. Role overview The Machine Learning Engineer will work in Austin, Texas, contributing to both customer projects and Striveworks’ core product development. This position requires hands-on engineering with Chariot and offers the chance to influence future platform features. Collaboration is key: expect to work closely with data scientists, software engineers, and DevOps specialists to turn machine learning models into operational solutions. An active Secret clearance is required, and the role is based onsite or in a hybrid setup at the northwest Austin office. Travel may reach up to 30%. What you will do Create machine learning models and custom analytics across diverse data types, including image, video, text, geospatial, time series, and structured data. Coordinate and automate complex data engineering and analytics pipelines. Help design and implement important product features. Support customers and stakeholders through mission-critical fieldwork. Who thrives here Engineers who bring technical skill, curiosity, and a focus on results tend to succeed at Striveworks. The role suits those who blend software engineering with data science, communicate clearly, and build repeatable value into product features while keeping customer needs in focus. Location and travel Hybrid or onsite at the Striveworks office in northwest Austin, TX Travel up to 30% may be required

About Us:At WebAI, we are pioneering the first distributed AI infrastructure focused on personalized artificial intelligence. In a world increasingly driven by data, we recognize the need for scalable and flexible solutions. Our vision is to create a future where AI is decentralized, enabling real-time data processing at the edge, right where data is generated. We aim to ensure that a company's data and intellectual property remain private while facilitating the deployment of large models directly to consumer hardware without compromising data security.Role Overview:As a Lead Staff R&D AI Engineer, you will spearhead the development of innovative AI systems that merge computer vision, natural language processing, and action learning. Your expertise will be instrumental in designing and implementing Vision-Language-Action (VLA) models, enhancing reinforcement learning applications, and advancing the integration of multimodal AI technologies. This position requires a robust background in both computer vision and large language models, coupled with practical experience in reinforcement learning, to develop intelligent systems capable of understanding, reasoning, and interacting with complex environments. You will lead research projects, mentor technical teams, and transform groundbreaking AI research into real-world applications across varied sectors.

Transform the future of transportation with us. Join a team where innovation knows no bounds and your contributions directly impact millions.What to ExpectAt examplecorpsandbox, we are seeking talented Machine Learning Engineers to develop foundational models for robotics, driving the next generation of autonomous vehicles. You will be part of a dynamic team, gaining access to one of the largest training clusters globally. Your work will be at the forefront of technology, directly influencing the driving experiences of millions.What You’ll DoUtilize extensive driving data and interventions to create a robust, scalable end-to-end learning system for self-driving technology.Implement advanced techniques such as generative modeling, imitation learning, and reinforcement learning to enhance our driving models’ planning and reasoning abilities.Experiment with innovative data generation and fleet collection methods to improve the diversity and quality of training datasets.Directly interface with vehicle firmware, delivering production-quality, safety-critical software to Tesla's entire fleet.What You’ll BringProficient in Python, along with experience in major deep learning frameworks and adherence to software engineering best practices.Comprehensive understanding of modern deep learning architectures, optimization techniques, and model alignment.Demonstrated experience in deploying production ML models for self-driving, robotics, or natural language processing at scale.Familiarity with C++ to facilitate integration with vehicle firmware, transforming concepts into tangible products.Compensation and BenefitsCompetitive salary and benefits as a full-time employee, including health coverage, retirement plans, and opportunities for professional growth.

Join Apptronik as a Senior Reinforcement Learning Engineer and be at the forefront of innovation in robotics. In this pivotal role, you will design, develop, and implement advanced reinforcement learning algorithms that empower our robotic systems to learn and adapt in real-time environments. Collaborate with a talented team of engineers and researchers to push the boundaries of what is possible in autonomous robotic applications.

Join Apptronik as a Senior Staff Electrical Engineer in our Compute division, where you will play a pivotal role in designing and developing advanced electrical systems for robotic applications. Your expertise will contribute to innovative solutions aimed at enhancing our product offerings and pushing the boundaries of technology.

Role Overview disco is hiring a Senior Machine Learning Scientist in Austin, TX. This role focuses on applying machine learning and data analysis skills to strengthen our products and uncover insights that matter. The position involves close collaboration with colleagues from different teams to develop algorithms and models that improve our offerings. What You Will Do Design and build machine learning models to support product enhancements Analyze data to identify trends and opportunities for improvement Work with cross-functional teams to integrate models into existing products Contribute expertise to shape the direction of new solutions

Shape the Future of AI in an Unpredictable World At Striveworks, we empower organizations to leverage artificial intelligence to tackle real-world challenges in national security and business sectors. Our mission is to serve as the command center that connects data, models, and business outcomes, making the journey from deployment to ongoing optimization seamless. Founded by a team of dedicated data scientists and engineers, we are committed to creating reliable and scalable AI systems that adapt to the ever-changing landscape. Our clients don’t just implement AI; they develop robust systems that enhance reliability and performance while reducing costs, enabling informed, data-driven decisions in dynamic environments. We understand that mission-critical operations require AI models that not only function effectively where they are deployed but also scale as workloads increase and evolve with advancements in technology. Your Role As a Senior Machine Learning Engineer at Striveworks, you will immediately be an integral part of our team, contributing to customer-driven projects and the development of our core products. You will play a critical role in projects that utilize Chariot, our proprietary AIOps platform, and you will actively shape the future capabilities of this platform. Collaborating with data scientists, software engineers, and DevOps professionals, you will convert machine learning models into operational capabilities that deliver value. If you are passionate about pushing the boundaries of your technical expertise and enjoy applying both software engineering and data science to solve real-world issues, this opportunity is for you. You appreciate the importance of customer-centric solutions, clear communication, and the ability to capture repeatable value in productized capabilities. Your daily responsibilities will include: Collaborating with customers, engineers, and stakeholders to define and clarify requirements that address customer challenges while utilizing our AI operations platform. Developing machine learning models and custom analytics applicable to various data types including image, video, text, geospatial, time series, and structured data. Orchestrating and automating intricate data engineering and analytical pipelines. Envisioning, specifying, and occasionally designing and implementing key product functionalities. Engaging in mission-critical fieldwork opportunities. This position offers the flexibility of a fully remote work environment, or you can opt for a hybrid approach by working on-site at our office in Austin.

Join Apptronik as a Reinforcement Learning Engineer and contribute to cutting-edge projects that push the boundaries of artificial intelligence. In this role, you will develop algorithms and systems that enhance the capabilities of robotic systems through reinforcement learning techniques.

Role Overview Tenstorrent is hiring a Staff Engineer to guide emulation technology efforts in Austin, Texas. This position leads technical direction for emulation, focusing on solutions that improve performance and reliability. What You Will Do Define technical requirements for emulation projects Design system architectures tailored to emulation needs Implement software solutions to support company objectives Collaborate with teams across hardware, software, and product groups

Role Overview SecurityScorecard is hiring a Staff AI Engineer to help advance its security products. This role combines remote flexibility with in-person collaboration at the Austin, TX office. What You Will Do Work with a skilled team to design and build AI-driven security solutions Contribute technical expertise to projects that protect organizations' digital assets Balance independent work with group sessions in a hybrid setting Location This position is based in Austin, TX, with a hybrid work arrangement.