Machine Learning Engineer Jobs

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AI/ML Engineer

Kanini

Nashville, Tennessee, USA

Contract

Title : AI/Ml Engineer Location : Nashville TN Onsite Duration Long Term Job Overview: We are looking for a skilled AI/ML Engineer with expertise in Databricks, Azure, OpenAPI, MLOps, and Prompt Engineering to develop, deploy, and optimize machine learning models. The ideal candidate will have experience in building AI-driven applications, working with large datasets, and implementing scalable ML solutions in cloud environments. Key Responsibilities: Design, develop, and deploy AI/ML models on

Principal AI/ML Engineer - Onboard Embodied AI

General Motors

Mountain View, California, USA

Full-time

Job Description Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Mountain View Technical Center in the Bay Area three times per week, at minimum. Role: As a Technical Lead in Machine Learning within the Onboard Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions directly impacting autonomous driving performance. Your role is pivotal in designing, architecting

Staff Machine Learning Engineer - AI Core Infrastructure

General Motors

Mountain View, California, USA

Full-time

Job Description Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Mountain View office three times per week, at minimum. Join the team driving the future of AI innovation at General Motors! Our AI Core Infrastructure team, which sits directly under the Chief AI Officer, is a high-impact team powering GM's enterprise-wide AI infrastructure-from customer in-vehicle experience to manufacturing innovation. We design the foundational AI infr

Senior Machine Learning Engineer - AI Core Infrastructure

General Motors

Mountain View, California, USA

Full-time

Job Description Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the MTV office three times per week, at minimum. Join the team driving the future of AI innovation at General Motors! Our AI Core Infrastructure team, which sits directly under the Chief AI Officer, is a high-impact team powering GM's enterprise-wide AI infrastructure-from customer in-vehicle experience to manufacturing innovation. We design the foundational AI infrastructure

Senior ML Engineer, Commercial Delivery

Genmab

Princeton, New Jersey, USA

Full-time

At Genmab, we are dedicated to building extra[not]ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate,

Sr. Machine Learning Engineer, Perception

Rivian

Palo Alto, California, USA

Full-time

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it

Staff Machine Learning Engineer - Dynamic Pricing

Uber Corporate

San Francisco, California, USA

Full-time

About the Role The mission of the Surge team is to maintain overall marketplace reliability by balancing supply/demand in real-time through dynamic pricing. We build scalable real-time systems to understand the state of the market, forecast future demand, make predictions using ML models, solve network optimization programs, and eventually make pricing decisions for each rider session. Surge plays a critical role in service of Uber's mission to make transport accessible. We generate billions o

Lead Machine Learning Engineer

Jobot

Falls Church, Virginia, USA

Full-time

ML Engineer Tysons Corner, VA This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $200,000 per year A bit about us: Our client is a well-funded deep tech company headquartered in Northern Virginia, building a suite of autonomous software reliability and testing products. Their team is collaborative, highly technical, and customer focused. They prioritize the long-term in our structure, our

Sr Machine Learning Engineer (Gen AI / LLM)

PaloAlto Networks

Santa Clara, California, USA

Full-time

Company Description Our Mission At Palo Alto Networks everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of

Staff Machine Learning Engineer

IO Associates

New York, New York, USA

Full-time

Staff Machine Learning Engineer (L6) Hybrid (2-3 days per week in-office in NYC) Full-Time Visa Sponsorship not available at this time. About the Company: Our client is a rapidly growing Series C Insurtech company based in New York City, focused on leveraging cutting-edge AI technology to transform the insurance industry. As a key player in the Insurtech space, they are building innovative AI-driven products that are reshaping the way insurance companies operate. As the company continues to

Senior Machine Learning Engineer, Pricing

Uber Corporate

San Francisco, California, USA

Full-time

About the Role Uber Marketplace is at the heart of Uber's business, with Rider Pricing & Incentives playing a critical role by setting prices and targeting promotions for Uber riders. Our team's mission is to drive revenue growth, ridership growth and Uber's profitability through advanced machine learning and data science. We build reliable, scalable platforms that optimize rider pricing, real-time and offline promotions, including discounts, and personalized messaging. The Rider Pricing & Inc

Senior Machine Learning Engineer

Adobe Systems

San Jose, California, USA

Full-time

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences wher

Sr Machine Learning Engineer

Uber Corporate

San Francisco, California, USA

Full-time

About the Teams: Coordinated Structural Pricing: The coordinated structural pricing and simulator team works on setting rider and driver prices to achieve marketplace balance. We maintain many offline models to simulate and optimize marketplace price levels at a coarse granularity to achieve growth in trips and GB while maintaining marketplace reliability and VC neutrality. We are actively working on a new pricing and simulation tech called Pricer-Planner and exploring many different avenues fo

Machine Learning Engineer

Randstad Digital

Charlotte, North Carolina, USA

Contract

job summary: ML Ops Engineer Work closely with data scientists, software engineers, product managers, and stakeholders to understand the requirements, challenges, and opportunities of machine learning projects. location: Charlotte, North Carolina job type: Contract salary: $65 - 75 per hour work hours: 8am to 4pm education: Bachelors responsibilities: Roles/Responsibilities: Work closely with data scientists, software engineers, product managers, and stakeholders to understand the requirem

Senior Staff Machine Learning Engineer - Guest & Host

Airbnb

No location provided

Full-time

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Users, Listings, and Marketplaces team supports features across the application related to Guests, Host

Staff Machine Learning Engineer - Delivery Marketplace

Uber Corporate

San Francisco, California, USA

Full-time

About the Role Delivery Marketplace is a central pillar of Uber's delivery products, serving as the \"brain\" of the operation. We drive every decision that enables orders to go from point A to point B - from Uber Eats to newer verticals like Uber Grocery. We're responsible for everything: from dispatch decisions, predicting delivery times, and optimizing pickup times, to ensuring we deliver the most efficient and impactful solutions for Uber's most critical business goals. As a Staff Machine

Machine Learning Engineer

Jobot

Chicago, Illinois, USA

Full-time

Early stage startup hiring Machine Learning Engineer / 100% remote This Jobot Job is hosted by: Christine McNamara Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: Join our dynamic team as a Machine Learning Engineer in the medical technology industry. This is a unique opportunity to leverage your skills in machine learning to contribute to the development of state-of-the-art solutions that will r

AI/ML Engineer

Raas Infotek LLC

Remote or Dallas, Texas, USA

Contract

Position: AI/ML Engineer Type: W2 Contract (No C2C) We re looking for an experienced AI/ML Engineer to design, build, and deploy machine learning models and AI solutions that power intelligent decision-making across our digital platforms. This role is ideal for someone passionate about data science, applied machine learning, and production-ready AI systems. Responsibilities:Design and develop ML models for classification, prediction, NLP, or recommendation systemsImplement and optimize data pipe

Machine Learning Engineer

Cloud Destinations LLC

Remote

Contract, Third Party

Location: Remote but candidates must be willing to travel to different customer sites. *Must be willing to travel (expenses will be covered) *Must have strong pre-sales abilities i.e. presentation skills, communication skills, etc. Your part here is optimizing the performance of our models both training and inference. We care about efficient large-scale training, low-latency inference in real-time systems, and high-throughput inference in research. Part of this is improving straightforward CUDA,

Senior Machine Learning Engineer - Location & Sensors

Uber Corporate

San Francisco, California, USA

Full-time

About The Role As a Machine Learning Engineer on the Location & Sensors team at Uber, you will have the unique opportunity to work on cutting-edge technologies that directly enhance Uber's geospatial capabilities. Our team is at the heart of improving location accuracy and sensor data processing, powering core Uber products and services, from ride-hailing to food and grocery delivery. You will tackle complex challenges in sensor fusion, predictive modeling, and location data analysis, driving i