Job Description This role is categorized as hybrid. This means the successful candidate is expected to report to offices in Austin, TX, Mountain View, CA or the Greater Seattle Area three times per week, at minimum [or other frequency dictated by the business if more than 3 days]. The Role As an engineer on this team, you will be responsible for building and supporting a petabyte-scale data platform in the cloud and providing powerful foundations for GM ML Data Platform tools, frameworks, and se
Job Description Research, design, and develop new machine learning solutions and algorithms for driverless technology company. Duties may include: Explore, prototype, validate, and iterate new algorithms and strategies. Drive efforts to optimize, supervise and refine on-road performance for models in production. Be considered one of the technical leaders of the department who guides current and future technology choices. Consider the business and operational impact for different technology trad
Job Description Research, design, develop and test robotic and machine learning applications for driverless technology company. Duties may include: Design and develop vehicle path planning algorithms. Research, implement, evaluate, and deploying deep-learning based methods for planning for autonomous vehicles. Design and develop complex, highly scalable, and latency optimized software. Improve and deliver reliable software through continuous integration, automated testing and code reviews. May t
Job Description Develop and implement techniques or analytic applications to transform raw data into meaningful information for driverless technology company. Duties may include: Exploring, prototyping, validating, and iterating new algorithms. Driving efforts to optimize, supervise and refine on-road performance for models on the path to production. Act as a technical leaders within the department who guides current and future technology choices. Enable others engineers on the team to be more e
Join Tesla's Self-Driving Hardware team to pioneer the next generation of AI accelerators and compute architectures for autonomous vehicles. In this role, you will focus on performance modeling, architectural exploration, and hardware-software co-design to optimize Tesla's custom machine learning silicon. The ideal candidate is an experienced Hardware Performance Engineer, with strong understanding of ML applications, and is comfortable working rapidly in a small-team environment. Responsibilit
Job Description Research, design, develop and test robotic and machine learning applications for an AV company. Duties may include: Contribute to the complete machine learning cycle: data collection, labeling, processing, algorithm design, model training, and evaluation. Formulate problem statements specific to autonomous operations and design innovative solutions to address them. Design novel machine learning models and algorithms, including new deep learning architectures, loss functions, and
Looking for a PM that has experience working on AI projects and services. Malvern, PA - Remote preferred, but open to all US. Travel may be required for in person project meetings. At the current time not on a regular basis. Core Skills and Responsibilities: Proven ability to quickly earn the trust of project sponsors and key stakeholders Lead end-to-end AI implementation projects, ensuring alignment with client objectives and organizational goals Build and maintain strong relationships with
Let Volt help move you forward Volt is immediately hiring for GEN AI and Machine Learning Engineer in Remote As a GEN AI and Machine Learning Engineer, you will: Key responsibilities: Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions.Develop, implement, and deploy AI/ML solutions.Preprocess and analyze large datasets to identify patterns, trends, a
Job Title: Gen AI/ML Engineer with Python and AWS Job Location: Plano,TX (In-Person interview) Duration: 3+Years Visa: H1 transfers only Job Description: We are seeking a Senior Machine Learning Engineer with hands-on experience in GenAI, LLMs, and AWS to join internal AI initiative. This role focuses on building and deploying AI/ML applications based on pre-established architecture and existing PoCs. The ideal candidate will have the technical depth to work independently, quickly grasp the arch
Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability
Senior Lead Machine Learning Engineer - Garage As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high ava
Utility Computing (UC)AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS,
Position: Machine Learning Engineer Location: 100% Remote (EST time zone) Duration: 12 Month Contract Only W2 Qualifications: 10+ years of IT experience and at least 5+ years working as a Machine Learning EngineerMust have strong programming skills in PythonExperience with both RDBMS and NoSQL databases (e.g., MongoDB, BigQuery)Hands-on experience with data preprocessing, feature engineering, and model evaluationExperience working with cloud platforms, especially Google Cloud Platform (Googl
Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS
Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.We are looking for a Component Engineer with strong skills and background in hard
Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. We are looking for a Component Engineer with strong skills and background in ha
Locals to TX and W2 Only. Design and develop machine learning models and algorithms to address business challenges. Collaborate with data scientists and product managers to define ML goals and project requirements. Perform data preprocessing, feature engineering, and exploratory data analysis to prepare datasets for training. Train, evaluate, and optimize models for accuracy, efficiency, and scalability. Keep up with the latest research, trends, and tools in the AI/ML space and share insights wi
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for
Title: AI Automation Tool Development EngineerLocation: Southwestern United States (Onsite) Employment Type: Full TimeCompensation: Pay Range: $140K-$160KDescription: Seeking a skilled Software Engineer with expertise in programming languages and AI technologies. Responsible for developing and maintaining robust applications and optimizing databases. Manage server infrastructure and implement AI models for innovation and efficiency. Collaborate with cross-functional teams to integrate AI solutio
**REMOTE - Must be local to Orlando, FL | Bilingual (English/Spanish) preferred | AI/ML Experience is a must** Our Client's new AI Center of Excellence is building a lean, impact-driven team to weave best-in-class AI chatbots, adaptive-learning engines, analytics into every corner of our academic and administrative ecosystem. If you love turning cutting-edge SaaS platforms into secure, FERPA-compliant services that faculty, staff, and students actually use, we want to meet you. Qualifications: F
