Senior Machine Learning Operations Engineer

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…

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.

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.

About Us: At webAI, we are pioneering the first comprehensive private AI platform tailored for enterprises and governments, enabling them to harness AI capabilities directly on their data. Our unique approach to artificial intelligence emphasizes specialization, sovereignty, efficiency, and sustainability, addressing real-world challenges rather than simply increasing computational demands. Our innovative technology empowers the creation of robust AI systems using minimal data, defying the conventional belief that vast datasets are essential for unlocking AI's potential. Join us to be part of a rapidly expanding team that values a dynamic and growth-focused work environment, where your contributions can lead to meaningful advancements for society.About the Role: We are in search of a highly skilled Senior Staff Machine Learning Engineer specializing in Large Language Models (LLMs) and Mixture of Experts (MoEs). The ideal candidate will possess a solid history of developing and successfully deploying cutting-edge AI models.Responsibilities: Drive the advancement and refinement of Large Language Models and Mixture of Experts systems.Collaborate effectively with interdisciplinary teams to embed machine learning models into our platform.Engage in pioneering research within the machine learning domain, focusing on enhancing the performance and efficiency of LLMs.Keep updated with the latest trends and breakthroughs in AI and machine learning, applying insights to enhance our models and practices.Mentor junior engineers, fostering knowledge sharing and promoting best practices within the team.Qualifications: Ph.D. or advanced degree in Computer Science or a related discipline.Established track record of innovation and contributions to the field, evidenced by publications or substantial industry experience.A minimum of 6 years of hands-on experience in machine learning, with specialized knowledge in Large Language Models and Mixture of Experts.Proficient programming skills in Python along with experience using machine learning frameworks such as TensorFlow and/or PyTorch.Proven ability to lead complex projects and collaborate effectively in a team-oriented environment.

Teamwork Makes the Stream Work. Join Roku – Transforming Television ViewingAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku is on a mission to revolutionize the way the world watches TV. We pioneered streaming to the TV and are dedicated to connecting the entire television ecosystem. By bringing together consumers, content publishers, and advertisers, we create an unmatched viewing experience. From day one, your contributions will be invaluable at Roku, a rapidly growing public company where every team member plays a crucial role. Here, you can delight millions of TV streamers globally while gaining rich experience across various disciplines. About Our Team The Advertising Performance group is dedicated to optimizing performance for all stakeholders in the advertising ecosystem – Advertisers, Publishers, and Roku. Our systems leverage multiple disciplines and cutting-edge technologies to perform real-time multi-objective optimization across large distributed systems with low latency. Utilizing Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction Dynamics, we tackle complex challenges. At the heart of our approach is our Machine Learning and Inference Platform that drives our entire operation. About the Role In this pivotal role, you will architect and lead the development of a state-of-the-art Inference platform designed for advertising-level low latencies, scalability, and high throughput. Your efforts will encompass optimizations across hardware, software, and models. We seek a technical leader with extensive experience in ML serving and high-performance computing, who is passionate about mentoring engineers, driving innovation at scale, and shaping the future of machine learning at Roku. What You’ll Be DoingDesign and implement advanced machine learning algorithms for real-time inference.Collaborate with cross-functional teams to optimize performance across various platforms.Mentor and guide junior engineers in machine learning practices.

Join Our Team as a Junior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems! About Allen Control Systems: Allen Control Systems (ACS) is an innovative defense startup founded by two former Navy electrical engineers renowned for their expertise in robotics and software development. We are at the forefront of creating a compact, autonomous gun turret that utilizes state-of-the-art computer vision and control systems to accurately identify and neutralize small drones and loitering munitions. Our pioneering approach presents exciting technical challenges, making ACS a vibrant workplace for aspiring engineers. With a strong engineering-driven culture, ACS prioritizes technical excellence and creativity. Our founders have successfully exited from two previous ventures, collectively worth $180 million in 2022, and we are dedicated to ensuring that the groundbreaking technologies we create will make a significant real-world impact. Your Role: Develop and optimize computer vision algorithms for our autonomous gun turret, focusing on real-time detection, tracking, and classification of drones. Design and implement machine learning models capable of functioning in resource-constrained environments while ensuring high accuracy and reliability. Collaborate with electrical engineers to seamlessly integrate computer vision systems into the turret's hardware architecture. Conduct rigorous testing and validation of computer vision algorithms across various scenarios to ensure robustness and performance under diverse environmental conditions. Contribute to the enhancement of the prototype turret into a military-grade system and assist in developing variants for different weapon systems and engagement ranges.

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

Company Overview avride builds autonomous vehicles and delivery robots, with machine learning at the core of every product. The team recently launched a robotaxi service in Dallas, and continues to design self-driving solutions from the ground up. Machine learning models, including CNNs, Transformers, and Multimodal Large Language Models, power both on-board and off-board systems, supporting safe, intelligent navigation and efficient operations. Role Overview: Senior / Staff Machine Learning Engineer avride is hiring experienced Machine Learning Engineers at Senior, Staff, and Principal levels in Austin, TX. The team welcomes both strong individual contributors and technical leaders ready to shape the future of autonomous mobility. This role focuses on solving complex challenges in autonomy, from developing deep learning models to managing large-scale datasets and deploying solutions in real-world systems. Senior-level engineers will also help set technical direction, mentor peers, and influence machine learning practices across the company. Main Responsibilities Model Development and Optimization: Design, implement, and improve deep learning models for tasks such as environmental perception and road user behavior prediction. Staff and Principal engineers will set the technical vision for model families and guide architectural choices across teams. Dataset Management: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation. Senior engineers will define standards and tools that scale across the organization. Training Pipeline Enhancement: Build efficient workflows for training, validation, and testing. This includes distributed training, hyperparameter tuning, and automated monitoring. Staff and Principal engineers will own the long-term roadmap for training infrastructure. Model Deployment and Efficiency: Optimize inference performance, model compression, and deployment across a range of hardware platforms. Location This position is based in Austin, TX.

Join Our Team as a Staff Engineer in Computer Vision & Machine Learning for Autonomous Anti-Drone Systems Company Overview: Allen Control Systems (ACS) is an innovative defense startup founded by two former Navy electrical engineers renowned for their expertise in robotics and software development. We are at the forefront of creating a compact, autonomous gun turret that utilizes state-of-the-art computer vision and control technologies to accurately target and neutralize small drones and loitering munitions. Our ambitious mission presents numerous technical challenges, providing a thrilling and fast-paced environment for seasoned engineers. ACS fosters an engineering-driven culture that prioritizes technical excellence and innovation. Supported by our founders' successful exits from two previous ventures totaling $180M in 2022, we are dedicated to ensuring that our pioneering technologies will make a significant impact in the real world.

Join Our Team as a Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company Overview: At Allen Control Systems (ACS), we are redefining defense technology as a pioneering startup founded by two former Navy electrical engineers with extensive expertise in robotics and software development. We are at the forefront of creating a compact, autonomous gun turret equipped with cutting-edge computer vision and control systems designed to accurately identify and neutralize small drones and loitering munitions. Our mission involves tackling complex technical challenges, offering a thrilling and dynamic atmosphere for skilled engineers. With a culture that prioritizes engineering excellence and innovation, ACS is driven by the founders' successful exits from two prior ventures, yielding a combined $180M in 2022. We are dedicated to developing transformative technologies that will have a meaningful impact in the real world.

Role Overview Striveworks is hiring a Staff Machine Learning Engineer to help shape solutions in machine learning and artificial intelligence. This role works on projects that require an active Secret Clearance, supporting sensitive initiatives where security and compliance matter. What You Will Do Work with a skilled team to design and build machine learning systems Contribute to technology that supports business objectives Apply expertise to projects requiring careful attention to security standards Location This position is based in Austin, Texas, with remote options available. Requirements Active Secret Clearance Experience in machine learning and artificial intelligence

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.

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.

Join Us as a Senior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems!Company Overview:Allen Control Systems (ACS) is an innovative defense startup founded by two experienced former Navy electrical engineers, known for their success in robotics and software development. We are pioneering the creation of a compact, autonomous gun turret equipped with cutting-edge computer vision and control systems designed to accurately identify and neutralize small drones and loitering munitions. Our mission is to address complex technical challenges, providing a stimulating and fast-paced environment for seasoned engineers.At ACS, we prioritize engineering excellence and groundbreaking innovation. Our founders' successful ventures, which led to exits totaling $180 million in 2022, reinforce our commitment to developing technologies that make a meaningful impact in the real world.

Saronic Technologies is at the forefront of transforming maritime autonomy, committed to creating advanced solutions that significantly improve operational efficiencies through intelligent, autonomous platforms.Position OverviewWe are on the lookout for a dynamic and skilled Forward Deployed Hardware Engineer to enhance our technical team. You will leverage your solid mechanical and electrical engineering expertise to transition our innovative technology from laboratory settings to active maritime operations. This role diverges from traditional engineering positions, as you will be tasked with deploying our systems in real-world environments, providing direct support for maritime missions. You will integrate cutting-edge mechanical and electrical payloads, troubleshoot intricate system-level challenges, and refine hardware designs in situ to ensure operational success. Expect a hands-on position, with time allocated between the lab, fabrication areas, and the waterfront.Key ResponsibilitiesAct as a multidisciplinary field engineer responsible for the mechanical and electrical integration of innovative systems and payloads onto our Autonomous Service Vessels (ASVs) and other maritime platforms.Lead rapid prototyping initiatives to facilitate field testing and platform advancements.Conduct system initialization, integration, and troubleshooting of power, networking, sensors, and computing subsystems.Oversee dockside and sea trials—preparing vessels, installing new hardware, and validating systems in operationally relevant settings.Incorporate design-for-assembly and design-for-deployment feedback into hardware development processes.Collaborate closely with cross-functional teams, including Mechanical, Electrical, Software, and Autonomy Engineers, to enhance and solidify system designs.Engage with suppliers and fabrication shops to expedite the turnaround of custom components and harnesses.Contribute to documentation and training materials to support the scalability of deployment and manufacturing operations.QualificationsBachelor's degree in Mechanical Engineering, Electrical Engineering, Mechatronics, or a related field; a Master's degree is preferred.A minimum of 3 years of experience in integrated electromechanical systems, particularly in fielded or mission-critical settings.Hands-on proficiency in hardware integration, including debugging and system-level troubleshooting.Strong problem-solving skills and the ability to adapt to rapidly changing environments.

Are you passionate about leveraging data and machine learning to drive impactful decisions? At Everlywell, we are looking for an enthusiastic and innovative Applied Scientist with expertise in Machine Learning, Experimentation, and Decision Systems. Join our team and play a crucial role in developing algorithms that enhance our health and wellness solutions.