Senior Machine Learning Engineer - Simulation at PlusAI | Santa Clara, CA

Join TechTrueUp as a Learning & Development Specialist, where you will play a pivotal role in enhancing organizational performance through effective training and development initiatives. You will collaborate with various departments to identify training needs and design programs that foster employee growth and engagement.

Role OverviewJoin our dynamic team at Dexmate as a Reinforcement Learning Engineer, where you will have the opportunity to innovate and advance the capabilities of our robotic systems through the development and deployment of state-of-the-art reinforcement learning algorithms.Key ResponsibilitiesDesign and implement advanced reinforcement learning algorithms tailored for diverse robotics applications.Develop and refine RL training pipelines for both simulated and real-world environments.Collaborate closely with robotics engineers to seamlessly integrate RL models into production systems.Conduct rigorous experiments aimed at evaluating and enhancing algorithm performance.Scale training infrastructure to facilitate efficient learning across multiple robot platforms.

Company OverviewAt Dexmate, we are pioneering the future of robotics as an innovative startup dedicated to creating versatile mobile robots capable of executing intricate manipulation tasks. We seek talented and passionate Robot Learning Engineers to join our dynamic team and elevate our robot manipulation capabilities. Ideal candidates will have a strong background in machine learning and/or robotics, and will thrive in a collaborative environment with dedicated researchers and engineers committed to driving technological progress. This full-time role is based in our Santa Clara, CA office.Key ResponsibilitiesDevelop and implement cutting-edge learning algorithms for robot manipulation, navigation, and control, ensuring seamless transition from simulation to real-world deployment.Innovate new techniques to improve robot dexterity and mobility through reinforcement learning, imitation learning, and foundational models.Scale machine learning systems for extensive model training and fine-tuning processes.Cultivate a diverse array of robust manipulation skills that expand the potential of robotic systems.Work in close partnership with hardware, controls, and systems engineers to devise integrated solutions.Required QualificationsPhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related discipline; OR a Master’s degree with over 1 year of industry experience; OR a Bachelor’s degree with 3+ years of relevant industry experience.A minimum of 2 years of practical experience in developing AI systems for robotics applications.Deep knowledge of contemporary robot learning methodologies including reinforcement learning, imitation learning, and behavior cloning.Strong command of Python and familiarity with deep learning frameworks such as PyTorch, TensorFlow, or JAX.Demonstrated experience in conducting real robot experiments and troubleshooting complex robotic systems.Familiarity with robot simulators including Isaac Gym, Isaac Sim, MuJoCo, SAPIEN, Drake, or similar tools.Exceptional problem-solving skills and effective communication abilities.A genuine enthusiasm for robotics and a commitment to developing practical solutions.Preferred QualificationsPublications in leading robotics or AI journals.

Join our dynamic team at HackerRank as a Machine Learning Engineer focusing on Evaluation. In this role, you will leverage your expertise in machine learning algorithms to drive the evaluation and enhancement of our innovative coding platform. Collaborate with cross-functional teams to develop robust models and ensure optimal performance across our systems.

At DiffLogic, we are pioneering the future of artificial intelligence with a bold vision to revolutionize computation. Our mission is to transcend traditional matrix multiplication by creating chips that embody the model itself. This innovative approach liberates us from the limitations of conventional GPUs and tensor cores, allowing for an unfettered range of operations.We are on the lookout for brilliant machine learning researchers who excel in exploring uncharted territories of knowledge. You will engage with complex questions that have yet to be answered, many of which are being posed for the first time within our lab. Our team is agile and hands-on, driven by curiosity and a fast-paced work environment. If you find our mission intriguing and are eager to contribute to groundbreaking research, we encourage you to apply.In your application, please share the publication you are most proud of and explain why it stands out to you.

Join Dexmate - Pioneering Physical AIAt Dexmate, we are at the forefront of developing the platform for physical AI, creating general-purpose humanoid robots and the comprehensive infrastructure that supports them. Our goal is to democratize access to physical AI for developers everywhere, akin to how cloud computing transformed software infrastructure. We are in the early stages of building our developer community, providing a unique opportunity for you to help shape its future.Your RoleMany developers encounter challenges when transitioning their models from a controlled environment to real-world applications. As the Developer Advocate Engineer, you will bridge this gap.Your mission will be to assist AI/ML developers in understanding the intricacies of deploying their models on humanoid robots, addressing issues such as latency, sensor noise, sim-to-real transfer, on-device inference, and closed-loop control. You will create sample projects, write tutorials, and develop content that positions Dexmate as the go-to platform for serious AI engineers eager to explore physical AI.This is fundamentally an engineering role; you will write code regularly, with talks and tutorials stemming from your hands-on experience.Your ResponsibilitiesDevelop and share sample projects demonstrating how AI/ML engineers can train, fine-tune, and deploy models using the Dexmate platform.Produce and publish technical tutorials weekly, including step-by-step guides, architectural explanations, and deployment walkthroughs tailored for engineers familiar with ML but new to physical AI.Manage the SDK documentation for AI/ML workflows, ensuring quickstart guides, API references, and Python SDK samples are updated within 48 hours of any platform changes.Respond to developer inquiries daily on Discord and GitHub Discussions, guaranteeing all questions are answered within 24 hours.Create reference integrations with foundational AI model providers and publish architectural guides for implementing their models on Dexmate robots.Present at AI/ML conferences 3–4 times a year, including NeurIPS, ICLR, ICML, CoRL, among others.Conduct live demonstrations for developers, partners, and potential enterprise clients.Identify integration challenges and missing platform capabilities, providing feedback to engineering weekly.Who You AreFluent in Python, with substantial experience in ML engineering, including model training, fine-tuning, and inference optimization.

Join the dynamic team at HackerRank as a Machine Learning Engineer. In this pivotal role, you will design, implement, and optimize machine learning models that enhance our platform's capabilities. Collaborating with cross-functional teams, you'll leverage data-driven insights to tackle complex challenges and drive innovation in technical assessments.As a key player in our hybrid environment, you will have the opportunity to work closely with engineers and product managers, contributing to the development of cutting-edge solutions that empower developers worldwide.

Join our dynamic team at HackerRank as a Machine Learning Engineer! In this pivotal role, you'll be responsible for designing and implementing machine learning models that enhance our platform's capabilities. Collaborate with cross-functional teams to leverage data-driven insights, improve user experiences, and contribute to innovative solutions in the tech industry.

Join plus-2 as a Senior Machine Learning Engineer specializing in Perception. In this pivotal role, you will leverage your deep expertise in developing Bird’s Eye View (BEV) fusion models using multimodal sensor data, particularly LiDAR. Your primary focus will be on designing robust and scalable perception algorithms that integrate information from various sensors, including cameras, LiDAR, and radar, to enhance autonomous driving capabilities and facilitate 3D scene understanding.

Join PlusAI, a trailblazer in Physical AI, as we revolutionize the future of transportation with our innovative AI-powered virtual driver software for autonomous trucks. With our headquarters nestled in the heart of Silicon Valley and operations spanning the United States and Europe, PlusAI has been recognized by Fast Company as one of the World’s Most Innovative Companies. We collaborate with industry giants like the TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV to expedite the rollout of next-generation autonomous trucks. If you're passionate about making a substantial impact and driving the evolution of autonomy, PlusAI invites you to join our dynamic and rapidly expanding teams.As a Senior Machine Learning Infrastructure Engineer, your role will be pivotal in shaping scalable architectures capable of processing petabytes of data, while optimizing performance for both training and inference stages. You will develop robust pipelines for effective model versioning and experiment tracking systems, which are crucial for ensuring reproducibility across various experiments. Furthermore, you will oversee the management of extensive GPU clusters. This position provides exceptional opportunities—both technically and professionally—for individuals eager to tackle complex challenges using cutting-edge cloud-native technologies. Ideal candidates exhibit proficiency in tools like Docker, orchestrated through Kubernetes, and are adept at integrating state-of-the-art deep learning frameworks such as PyTorch and TensorFlow. If you're excited to explore the frontiers of machine learning infrastructure and contribute to pioneering solutions, we encourage you to apply!

Join PlusAI, a trailblazer in Physical AI, dedicated to developing cutting-edge AI-driven virtual driver software for factory-built autonomous trucks. Located in the heart of Silicon Valley, PlusAI operates across the United States and Europe and has been recognized by Fast Company as one of the World’s Most Innovative Companies. Collaborating with industry leaders such as TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV, we are at the forefront of accelerating the future of autonomous trucking. If you are eager to make a significant impact and help shape the future of autonomy, we invite you to join our rapidly growing team.We are seeking a highly skilled Machine Learning Engineer to develop and implement state-of-the-art ML-based planning algorithms utilizing the vast data generated by our autonomous truck fleet on a daily basis.

Join our dynamic team at ServiceNow as a Staff Machine Learning Engineer specializing in VoIP Infrastructure. In this pivotal role, you will leverage your expertise in machine learning to enhance our VoIP services, ensuring reliability and innovation in a fast-paced environment.

Join PlusAI, a trailblazer in Physical AI, at the forefront of developing AI-driven virtual driver software for autonomous trucks. With our headquarters in Silicon Valley and operations spanning the United States and Europe, PlusAI has been recognized by Fast Company as one of the World’s Most Innovative Companies. We collaborate with esteemed partners such as TRATON GROUP’s Scania, MAN, International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV to push the boundaries of next-generation autonomous trucking.We are searching for a skilled Machine Learning Engineer to enhance and implement cutting-edge ML-based planning algorithms using the vast data generated daily from our autonomous trucking fleet. If you are passionate about shaping the future of autonomy and eager to leave a significant impact, we invite you to become a part of our dynamic team.

Join ServiceNow as a Principal Machine Learning Engineer focusing on VoIP Infrastructure. In this key role, you will leverage cutting-edge machine learning techniques to enhance our VoIP services, ensuring high availability and superior performance. Collaborate with cross-functional teams to develop innovative solutions that drive business objectives and improve user experiences.

Sustainable Talent is collaborating with Nvidia, a pioneering leader in the world of computer graphics, PC gaming, and accelerated computing for over 25 years. We are in search of a Machine Learning Engineer specializing in AI Safety & Security to join our client’s dynamic team located in Santa Clara, CA, with options for remote or hybrid work. This full-time (W-2) contract position offers competitive compensation ranging from $90/hr to $130/hr, depending on factors such as experience, education, and location, alongside comprehensive benefits, paid time off (PTO), and a vibrant company culture! As a Machine Learning Engineer, you will collaborate closely with NVIDIA’s research and engineering teams, focusing on AI Safety for large language models (LLMs), including multilingual, multimodal, and reasoning models. We highly value a strong background in data science complemented by solid data engineering skills. This role is primarily dedicated to assessing and enhancing the safety and inclusivity of our LLM models on a scalable level. We are seeking candidates skilled in programming and scripting for detailed data manipulation, analysis, and model fine-tuning. We believe in proactive problem-solving, working with minimal supervision, and fostering exceptional teamwork to make a meaningful impact together! Key Responsibilities: Design and develop datasets and moderator models for evaluating LLMs and end-to-end systems focused on content safety and machine learning fairness. Create datasets for training LLMs using supervised fine-tuning (SFT) and reinforcement learning (RL) techniques, targeting content safety, ML fairness, security, and more. Research and implement state-of-the-art techniques for bias detection and mitigation in LLMs and related systems. Establish and monitor key metrics for responsible LLM behavior and usage. Adhere to best practices around automation, monitoring, scalability, and safety. Contribute to our repositories and develop safety tools to enhance the effectiveness of machine learning teams. Engage in data pre-processing and analysis: Work with data scientists and data engineers to gather, clean, pre-process, and transform extensive datasets. Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that enhance model performance. Collaborate with multidisciplinary teams: Work alongside product engineers, data scientists, and analysts to comprehend business requirements and translate them into actionable solutions.

Oklo is looking for a Software Development Lifecycle Specialist to shape how software is built, tracked, and delivered. This position is open to candidates based in Santa Clara, CA or working remotely. Role overview This role centers on improving Oklo’s software development lifecycle. The specialist will help ensure each stage meets quality standards and complies with both internal policies and external regulations. Collaboration is key: expect to work closely with teams across the company to build out processes, tools, and governance frameworks that support engineering transparency and effectiveness. Oklo is formalizing its lifecycle approach while aiming to keep the speed and flexibility of a startup. The person in this role will help define how software is scoped, monitored, governed, and released throughout the organization. No background in nuclear technology is required. Success will come from strong systems thinking, attention to detail, a proactive approach, and curiosity about the work. What you will do Develop and maintain software lifecycle standards, templates, and workflows using GitLab and Jira. Ensure traceability across requirements, design documents, code, testing, and validation activities. Work with engineers to support accurate scoping, manage backlogs, and coordinate milestones. Partner with DevOps and Engineering Infrastructure to define standards for change control and configuration management. Support audit readiness by making sure lifecycle documentation is complete and reproducible. Define lifecycle standards such as Definition of Done and release controls. Build reporting and dashboards that highlight lifecycle health, risks, and delivery status. Spot and address gaps in the software lifecycle to improve engineering workflows. Translate compliance requirements into practical engineering processes. Evaluate and recommend tooling improvements that strengthen lifecycle integrity without adding unnecessary overhead.

At Tenstorrent, we are at the forefront of pioneering AI technology, setting new benchmarks for performance, usability, and cost-effectiveness. As AI transforms the computing landscape, it is crucial for solutions to evolve, integrating advancements in software models, compilers, platforms, networking, and semiconductors. Our passionate and diverse team of technologists has successfully designed a high-performance RISC-V CPU from the ground up, driven by a shared commitment to AI excellence and the ambition to create the ultimate AI platform. We value collaboration, curiosity, and a relentless pursuit of challenging problems. We are expanding our team and seeking contributors across all experience levels.As a C++ Machine Learning Engineer on our AI Models team at Tenstorrent, you will play a vital role in developing the training framework for our most sophisticated models. Your responsibilities will involve writing high-performance C++ code, designing new layers and operators, and ensuring our models efficiently scale across our custom silicon. If you have a passion for building the core of machine learning systems and optimizing their performance, this opportunity is tailored for you.This position is hybrid, based out of Santa Clara, CA.We encourage candidates with varying levels of experience to apply. During the interview process, we will evaluate candidates to determine the most suitable level, and offers will correspond to that level, which may differ from what is stated in this posting.

Sustainable Talent is collaborating with Nvidia, a pioneering organization that has been reshaping computer graphics, PC gaming, and advanced computing for more than 25 years. We are in search of a Machine Learning Engineer specializing in LLM Safety & Security to join our client's team located in Santa Clara, CA, with flexible remote or hybrid work arrangements.This is a full-time (W-2) contract position. We offer competitive compensation ranging from $90/hr to $130/hr based on experience, education, location, and other relevant factors, along with comprehensive benefits, paid time off, and an exceptional company culture!In your role as a Machine Learning Engineer, you will collaborate with NVIDIA’s research and engineering teams, concentrating on AI Safety for LLMs, including multilingual, multimodal, and reasoning models. We value a strong foundation in data science complemented by expertise in data engineering. This position is aimed at evaluating and enhancing the safety and inclusivity of our LLM models at scale. We are looking for someone skilled in programming and scripting for thorough data manipulation, analysis, and model optimization. Our approach emphasizes proactive problem-solving, minimal supervision, and being outstanding team players who collaborate effectively, think critically, and learn collectively. Let’s create impactful solutions together!Key Responsibilities:Design datasets and moderator models for assessing LLM models and complete systems regarding Content Safety and ML Fairness, including text-to-text and multimodal-to-text models.Create datasets for training LLM models utilizing SFT and RL techniques focused on Content Safety, ML Fairness, and Security.Investigate and apply state-of-the-art methods for bias detection and mitigation within LLMs and associated systems.Establish and monitor key metrics for responsible LLM behavior and usage.Adhere to best practices in automation, monitoring, scaling, and safety.Contribute to our code repositories and develop safety tools to enhance the effectiveness of ML teams.Engage in data preprocessing and analysis: Collaborate with data scientists and engineers to gather, clean, preprocess, and transform extensive datasets.Conduct exploratory data analysis (EDA) to reveal insights and patterns that enhance model performance.Work in partnership with multidisciplinary teams: Collaborate with product engineers, data scientists, and analysts to comprehend business needs and translate them into actionable strategies.

At d-Matrix, we are dedicated to unlocking the transformative power of generative AI technology. Positioned at the cutting edge of both software and hardware innovation, we continually strive to expand the boundaries of what technology can achieve. Our vibrant workplace culture emphasizes respect and collaboration.We believe in the values of humility and direct communication, fostering an inclusive team environment. Our diverse perspectives lead to innovative solutions. We are looking for passionate individuals who thrive on challenges and are motivated by tangible results. Are you ready to explore your potential? Together, we can shape the limitless possibilities of AI.LocationThis role is hybrid, requiring onsite work at our headquarters in Santa Clara, CA, for three days each week.12-Week Internship Program: June 1st - August 21st or June 22nd - September 11thRole OverviewAs a Machine Learning Research Intern, you will be part of our dynamic Machine Learning Team, focusing on exploring algorithm-hardware co-design research paths within d-Matrix's comprehensive solutions. You'll collaborate with a group of exceptional professionals dedicated to researching and developing cutting-edge deep learning techniques that are optimized for d-Matrix's AI compute engine. Additionally, you will have the chance to work alongside leading academic institutions, assisting customers in optimizing and deploying their workloads for practical AI applications on our platforms.Your Responsibilities:Design, implement, and assess efficient deep neural network architectures and algorithms tailored for d-Matrix's AI compute engine.Collaborate with both internal and external ML researchers to achieve R&D objectives.Work closely with the Software team to fulfill stack development milestones.Conduct research that informs hardware design decisions.Develop and maintain tools for high-level simulation and research purposes.Port and optimize customer workloads for deployment, create reference implementations, and evaluate their performance.Provide timely and effective progress reports and presentations.Contribute to the publication of research papers and intellectual property.Qualifications:Currently pursuing a Master's or PhD in Computer Science, Electrical and Computer Engineering, or a related scientific field.Strong foundation in machine learning algorithms and deep learning frameworks.Experience with programming languages such as Python or C++.Excellent communication skills, both verbal and written.Ability to work effectively in a collaborative team environment.