Machine Learning Engineer Jobs

Dodo

Dodo is seeking a Senior ML Engineer to enhance the intelligence, speed, and reliability of healthcare's front desk agents. This role involves owning the models, evaluation, and training loops that process millions of real conversations daily, continuously improving the system based on real-world interactions. You will be instrumental in making Dodo's agents smarter and more effective in handling patient communications.

Salary not listed

Expedia Group is seeking a Senior Machine Learning Scientist to join the Unified Personalization Service team. This team is responsible for building Expedia Group's centralized, real-time personalization engine across all brands and channels, powering experiences like ranking, recommendations, and retrieval. This role involves shaping the next generation of deep learning systems for personalization, including recommendation, ranking, retrieval, traveler understanding, sequential modeling, and foundation-model-based personalization. It's a hands-on applied science and engineering position focused on translating research into production-quality systems, influencing technical direction, and mentoring others.

$187k - $262k

The Machine Learning Frameworks team focuses on accelerating the research iteration loop and optimizing production performance across heterogeneous hardware. This involves building optimizers, code generators, runtime libraries, and orchestration layers. The work spans the entire compute pipeline, from high-level system orchestration to low-level hardware behavior and compute graph dissection, aiming to extract maximum performance from the underlying systems.

Salary not listed

Expedia Group B2B is seeking a Machine Learning Engineer III to join their Applied Machine Learning Team. This role focuses on designing, building, and maintaining the infrastructure for deploying ML solutions, managing data pipelines, and optimizing compute resources for ranking, recommendation, and pricing optimization systems. The engineer will ensure ML models are efficiently deployed, scaled, and monitored in production, contributing significant value to partners. The position requires a strong foundation in software engineering, data engineering, distributed systems, or applied machine learning, with a readiness to grow in other areas. The role involves architecting and implementing robust ML systems, streamlining the model development to production pipeline, and optimizing ML infrastructure for performance and scalability. While primarily an individual contributor role, there is an expectation to mentor junior team members and provide technical guidance.

€56k - €78k

NVIDIA is seeking software engineering interns for its China TSE Deep Learning team. This role involves contributing to cutting-edge, high-performance deep learning solutions. Interns will work on the research, design, and implementation of software features to meet customer performance targets and create unique value. The position will also involve development and bug fixes related to Vision Language Action (VLA) and autonomous driving, as well as developing solutions for DNN model acceleration optimization and deployment.

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Databricks

Databricks is seeking a Senior Engineering Manager for Search to lead the development and scaling of their next-generation Search product. This role is critical in building and evolving a highly performant, cost-efficient, and developer-friendly Search stack that enables customers to build AI applications with accuracy, speed, and scale. The manager will drive innovation across Vector Search, Keyword Search, and Search Quality, and will be responsible for shaping the long-term vision, mentoring engineers, and collaborating across teams to expand the impact of Search at Databricks.

$222k - $300k

General Motors is seeking a Summer Intern Researcher in Machine Learning for Automation to contribute to the development and deployment of advanced learning methods for intelligent robotic systems in manufacturing. This role involves applying machine learning and physical robotics expertise to complex, real-world robotic challenges, supporting the creation of next-generation automation and flexible production systems.

Salary not listed

As an engineer on the Data Team, you will operate as a technical leader on the foundational layer of the platform. This team owns Qualified's data end-to-end, including leads and accounts data models, ETL pipelines, Data 360, Salesforce sync, analytics and insights, data integrations, and Data APIs. Every product area and AI agent depends on this layer being correct, fresh, and fast. This is a newer team with significant greenfield opportunities, where you will shape the architecture of core pipelines and data models, set patterns for other teams, and transform inherited systems into a coherent platform. You will also directly contribute to the intelligence of AI agents by ensuring the data they rely on is accurate and flows seamlessly between systems.

$173k - $260k

Databricks

Databricks' Model Serving product offers enterprises a unified, scalable, and governed platform for deploying and managing AI/ML models, including traditional ML and large language models. It provides real-time, low-latency inference, governance, monitoring, and lineage, making it a core pillar for customers operationalizing models at scale with strong SLAs and cost efficiency. As a Senior Engineer, you will be instrumental in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build high-throughput, low-latency inference systems for CPU and GPU workloads, influence architectural direction, and collaborate with cross-functional teams to deliver a world-class serving platform.

$166k - $225k

General Motors is seeking a Summer Intern Researcher in Machine Learning for Automation to contribute to the development and deployment of advanced learning methods for intelligent robotic systems in manufacturing. This internship offers the chance to apply machine learning and physical robotics expertise to real-world robotic challenges, supporting the creation of next-generation automation. Interns will work on enabling robotic systems capable of learning and adapting to perform complex tasks in production environments, enhancing flexibility and efficiency.

Salary not listed

NVIDIA is seeking strategic, ambitious, hard-working, and creative individuals for their 2027 Autonomous Vehicles and Robotics internships. This 12-week full-time program offers an excellent opportunity to expand your career and gain hands-on experience with industry-leading teams. Interns will work on projects with a measurable business impact, contributing to NVIDIA's pioneering work in AI and digital twins that is transforming major industries.

$0k - $0k

NVIDIA is seeking ambitious and creative individuals for its Spring 2027 Developer and Performance Technology internships. These 8-12 month full-time internships offer a unique opportunity to gain hands-on experience with industry-leading Deep Learning teams, working on projects that have a measurable impact on NVIDIA's business. Interns will tackle complex challenges in areas such as AI, digital twins, gaming, robotics, self-driving cars, and virtual worlds. The program is designed for students pursuing a B.S. or M.S. degree in a relevant field, providing a chance to expand their careers and contribute to transformative technologies.

$0k - $0k

NVIDIA is seeking strategic, ambitious, hard-working, collaborative, and creative Ph.D. Engineering interns to join their Computer Architecture and Systems teams for Summer 2027. This internship offers an excellent opportunity to expand your career and gain hands-on experience with industry-leading technologies. Interns will design and implement novel ideas in GPU and CPU architectures, systems architectures, operating systems, AI systems, and distributed systems, with the potential to transfer their research to product groups, resulting in prototypes, patents, products, or published research.

$0k - $0k

NVIDIA is seeking interns to research scalable differentiable algorithms, including adjoint and automatic differentiation methods. This role will involve connecting simulations with experimental data for calibration and data assimilation using AI/ML techniques. The work will be evaluated on simulation workloads and assessed for integration into NVIDIA software. This internship is ideal for individuals passionate about mathematics, code, hardware, and engineering applications.

$0k - $0k

We are seeking an exceptional hands-on engineer to help our partners and customers make demanding physics and robotics simulation workloads run exceptionally well on NVIDIA platforms. You will work at the intersection of algorithms, mathematics, GPU architecture, and production software to find the true limits of real applications and turn that understanding into durable code and actionable feedback for NVIDIA engineering teams. This role is for someone with a recognizable technical body of work: not someone who merely used advanced systems, but someone who took stewardship of one and made it substantially better.

$224k - $431k

We are seeking experienced backend engineers to join our team and build robust, scalable backend systems. This role focuses on server-side development, requiring a strong understanding of software design principles, system design, and scalable architecture. You will be responsible for performance tuning and scaling at both the API and storage layers, ensuring the efficiency and reliability of our systems.

Salary not listed

Isomorphic Labs is at the forefront of applying advanced AI to accelerate scientific discovery and develop life-changing medicines. We are building a future where diseases are curtailed or cured, starting with better and faster drug discovery. Join our interdisciplinary team to drive groundbreaking innovation in a collaborative and inspiring culture. We leverage AI to model complex biological phenomena, design novel molecules, and develop innovative medicines to treat devastating diseases. Our world-leading drug design engine utilizes AI models capable of working across multiple therapeutic areas and drug modalities, with continuous innovation in model architecture and cutting-edge capabilities.

Salary not listed

ElevenLabs

We are seeking a Data Scientist to own the datasets and evaluation workflows crucial for our AI Safety initiatives. This role involves transforming real-world product data into well-structured datasets for model training and evaluation, and developing the processes and infrastructure to monitor model performance in production. You will collaborate with safety researchers, engineers, and policy specialists, translating complex safety requirements into practical data and evaluation systems. The work starts with hands-on data collection, analysis, and labeling, then progresses to building scalable methodologies, contributor networks, and quality standards.

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PwC Ireland is seeking a Senior Microsoft Fabric Data Engineer to join their Advisory team. This role involves designing, developing, and delivering enterprise-grade data platforms using Microsoft Fabric. You will be responsible for the full lifecycle of data engineering solutions, from ingestion and transformation to analytics enablement and governance. The position requires deep expertise in the Microsoft Fabric ecosystem and collaboration with various stakeholders to translate business needs into scalable, secure, and high-performing data solutions that support reporting, advanced analytics, and AI use cases.

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NVIDIA is building the next generation of AI and advanced data technologies for Physical AI. Our MLOps GT team designs large-scale data infrastructure, LLM models and agents powering Ground Truth (GT) generation, and end-to-end AI workflows for global automotive and robotic partners. We are looking for a motivated MLOps Physical AI Data Intern to help build, scale, and optimize this global data ecosystem while driving strong collaboration across engineering, operations, and research teams. At NVIDIA, interns are integral to real-world projects that push the boundaries of Physical AI. You’ll gain hands-on experience in global-scale data operations, work with exceptional engineers, scientists, and play a role in enabling next-generation autonomous driving systems across the world.

Salary not listed

NVIDIA is seeking a Deep Learning Performance Intern to join their team in Shanghai, China. This role focuses on accelerating deep learning across various platforms and applications, including automotive, robotics, and generative AI. The intern will contribute to deep learning modeling, performance optimization, projections, and analysis, with opportunities to optimize hardware and software architectures and make a significant impact.

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Nox Metals is seeking a Machine Learning Engineer to develop production systems that enhance the speed and accuracy of quoting, material selection, planning, and factory decisions. This role involves working with complex operational data, testing hypotheses against real-world outcomes, and deploying effective solutions into production. The focus is on applied machine learning, where models must demonstrably improve decisions, withstand operational conditions, and gain user trust.

$152k - $168k

Physical Intelligence

Physical Intelligence is building a platform to bring general-purpose AI into the physical world, powering robots with foundation models and learning algorithms. As an API Product Engineer, you will develop the core product surface that enables external companies to utilize Pi's models similarly to how they use LLM APIs today. This involves allowing them to bring their own data, fine-tune models, evaluate performance, and run low-latency inference within their own environments. You will own this entire experience, transforming close-knit collaborations into a scalable platform designed to support a vast number of robots.

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As a Senior Lead Software Engineer at JPMorgan Chase, you will be a key member of an agile team focused on building, scaling, and maintaining robust machine learning platforms. Your role involves designing and delivering market-leading infrastructure and tools that empower data scientists and ML engineers to develop, deploy, and monitor models efficiently and securely. You will implement critical technology solutions across multiple technical areas to support business objectives and drive innovation in ML platform capabilities.

Salary not listed