Machine Learning Jobs

The Enterprise Agent Evals & Efficiency team at Perplexity focuses on enhancing the capabilities of AI agents to perform real-world tasks across various enterprise connectors, tools, and data sources. The primary objective is to enable agents to select the appropriate tools, utilize relevant context, and execute complex workflows reliably, while minimizing time and computational resources. This role involves end-to-end ownership, from developing realistic enterprise evaluation environments to implementing improvements in the agent harness, tools, and skills. You will create intricate scenarios involving connected systems, data, and permissions to pinpoint agent weaknesses and refine the tools, skills, context, and models they employ. Collaborating with AI Research, Connectors, and Platform teams, you will translate experimental findings into tangible improvements in task success rates, latency, and cost efficiency.

$220k - $405k

Salesforce is seeking a Lead Software Engineer for its new AI Labs business unit, focused on driving large-scale transformation through generative AI and a leading platform for mission-critical workloads. In this role, you will contribute high-quality code to complex problems, touching every phase of the product lifecycle from ideation and prototyping to feature execution and release. You will work closely with talented engineers and AI researchers, collaborating with technical and non-technical colleagues to identify and solve real customer problems. The role involves embedding with demanding customers to understand their challenges and implement solutions, leveraging Salesforce products, open-source technologies, and custom-built tools. We value engineers who can write clean, effective code, learn new languages quickly, and adapt to diverse customer environments to deliver scalable solutions.

$149k - $314k

Our team builds AI-driven software systems for Circuit Design, combining automation algorithms, deep learning models, and agentic workflows to accelerate end-to-end design automation. We are seeking an Applied Machine Learning Engineer to join our integral team in the Circuit Solutions Group. You will work within a multi-functional team on various projects involving pre-silicon and post-silicon custom circuit design, circuit/layout optimization, and Spice correlation. This role involves researching and implementing frontier solutions in electronic design automation and building innovative agentic AI solutions for VLSI design problems. You will be responsible for analyzing problems and datasets, validating hypotheses, and designing and building models and algorithms to achieve desired quality of results.

$152k - $265k

We are seeking a Senior Forward Deployed Engineer to lead technical engagements with partners and customers, focusing on NVIDIA's open model portfolio. The primary mission is to transform open models into production-ready AI solutions tailored to specific domains, covering the entire lifecycle from post-training to harness optimization. This role involves collaborating closely with NVIDIA's partner ecosystem, co-leading customer engagements, and developing resources that enable partners to scale their AI initiatives. You will work hands-on to build custom AI solutions, from initial customer conversations through to production deployment, ensuring models are optimized for performance and cost-effectiveness.

$184k - $357k

Together AI

The Speculative Decoding team at Together AI focuses on developing draft models and algorithms to accelerate large language model generation without altering outputs. Their work integrates model training, inference algorithms, and serving systems, optimizing all three for reduced cost and latency. As a research intern, you will explore open questions in speculative decoding, including new drafter architectures, verification schemes, knowledge distillation, and adaptive drafters. You will train and fine-tune draft models at scale on GPU clusters and evaluate your solutions against realistic serving workloads, such as long-context and agentic traffic.

We are seeking a Senior Power Architecture & Optimization Engineer to advance energy efficiency through sophisticated analytics and AI, including specialized LLMs for power analysis. This role is central to NVIDIA's mission of creating the most energy-efficient GPUs and SoCs, leveraging AI and LLMs as a key differentiator for future products. You will combine expertise in power architecture with machine learning, reinforcement learning, data analytics, and large language models to innovate in modeling, analyzing, and optimizing energy consumption across various design levels.

$136k - $265k

NVIDIA is seeking a passionate Senior Perception Software Engineer to design, develop, and productize autonomous driving solutions. As a member of the perception team, you will build world-class perception solutions, designing and implementing software components. You will be challenged to improve the robustness, efficiency, and reusability of these components, working closely with experienced perception engineers and researchers. This role involves executing the full software development lifecycle, writing well-designed, testable code, and integrating perception software into a functional system. You will also develop verification plans, document and maintain software functionality, and debug existing systems, ensuring alignment with project plans and industry standards. A key aspect of the role is deploying state-of-the-art perception DNN models to embedded platforms and analyzing system performance using benchmark data.

$224k - $357k

As a Robotics Software Engineer on the Isaac Applications Team, you will integrate software and hardware to enable Physical AI robots to operate in the real world. You will build working robotic systems and end-to-end workflows for engineers and AI agents, connecting data, simulation, and real-world deployment to continuously expand and improve robot capabilities. We are looking for strong software engineering skills, broad robotics knowledge, and enthusiasm for working hands-on with physical robots when taking ideas into practice. You enjoy understanding how components interact, solving problems across their boundaries, and seeing them come together to deliver new robot capabilities.

$184k - $357k

This role focuses on establishing and implementing a comprehensive evaluation strategy for autonomous agents at NVIDIA. The goal is to ensure that changes to agents, their underlying models, harnesses, tools, and skills lead to improvements rather than regressions. You will design systems that allow agents to leverage evaluation results for self-improvement, building trust in the process of autonomous evolution. This involves creating robust evaluation frameworks, mining production data for insights, and developing realistic simulation environments for safe, end-to-end agent task execution.

$224k - $431k

Salesforce AI Labs is seeking exceptional emerging AI and computer science talent for a highly selective, 24-month rotational fellowship designed to develop the next generation of AI builders. Fellows will tackle real technical and customer challenges, build with frontier AI technologies, and ship solutions into production at enterprise scale. This program offers hands-on experience across four distinct dimensions of the AI lifecycle: Product Engineering, Product Management, Customer Solution Deployment, and Enterprise Workflow Transformation. The rotational model provides exposure to different AI teams, technologies, and problems, building the technical depth, adaptability, and product mindset needed to become an AI leader. Upon successful completion, Fellows will transition into high-impact AI teams across Salesforce.

$114k - $136k

AI Labs at Salesforce is seeking deeply technical, product-savvy AI architects to evaluate AI technology for potential acquisitions and investments, and to accelerate portfolio companies post-acquisition. These leaders will provide technical depth during M&A diligence and help build common AI capabilities, models, and infrastructure that can be leveraged by acquired companies. The role involves assessing the technical viability of companies, identifying risks and opportunities, and advising on build-vs-buy decisions and the defensibility of underlying technology.

$197k - $365k

Anthropic

As an Applied AI Engineer on the Startups team, you will serve as a trusted technical advisor to leading AI-native startups in the physical world, spanning robotics, semiconductors, aerospace, manufacturing, and civil infrastructure. You will guide these companies from early product stages to scale, helping them integrate Claude into their product design, testing, and operations. This role involves leading deep technical engagements, partnering directly with startup software and hardware engineering teams to build their products on Claude and leverage it for their own engineering processes. You will bridge the gap between Claude's capabilities and the practicalities of building real-world physical systems, working alongside top teams on impactful problems and enabling mechanical, electrical, and process engineers to achieve significant advancements.

$280k - $320k

Anthropic

As an Applied AI Engineer on the Startups team at Anthropic, you will serve as a trusted technical advisor to leading AI-native life sciences and biotech startups, guiding them from early product development to scaling. You will partner directly with startup engineering and scientific teams to help them build products on Claude and integrate it into their research workflows. This role involves bridging the gap between Claude's capabilities and the specific needs of the life sciences, pushing the boundaries of AI in scientific discovery. You will collaborate with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams to enable startups to build at the forefront of AI in life sciences, developing custom evaluation frameworks, scalable architectures, and essential technical resources.

$280k - $320k

Temporal is seeking a Staff Software Engineer to lead AI agent optimization efforts. This role involves designing and building tools and mechanisms to help users optimize AI agents for token spend, response time, and result quality. You will focus on techniques like model routing, multi-agent architecture, cache policy, and context management, requiring direct experience in this problem domain. You will collaborate with other AI Foundations team members on agentic development, ecosystem integrations, and policy/security systems, blending theory and practice to solve customer problems and ship fast.

$170k - $278k

SpaceXAI is building Super Intelligence to help humanity understand the universe, from supercomputers to large language models and user-facing applications. As a Software Engineer on the Model Lifecycle and Signals team, you will be responsible for integrating frontier models into user-facing products at a massive scale. This role involves deciding which models to use, monitoring their performance, and providing feedback to shape future model development. You will work at the intersection of infrastructure, data, and product, bringing models from preview to production, analyzing real-world data, and collaborating with research, inference, product, and data science teams to improve both products and models. Your contributions will have a compounding impact across all products and shipped models.

NVIDIA is seeking a Backend Compiler Engineer to join our GPU Software organization. The Compiler team is responsible for constructing and emitting high-performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This team comprises leading compiler engineering experts who deliver cutting-edge performance and capabilities for NVIDIA's complex parallel SIMT architectures.

$152k - $242k

NVIDIA is seeking a Staff Engineer to develop the company's Enterprise Data Governance platform. This platform is crucial for protecting sensitive information, managing data access across all collaboration and content systems, and building a knowledge infrastructure that ensures the trustworthiness and accuracy of enterprise AI. The role presents a unique challenge in balancing the need for broad data access for AI agents with strict security, legal, and export control requirements. This position is ideal for technically strong engineers at the senior to principal level who are passionate about solving complex infrastructure problems and contributing to NVIDIA's core operations at scale.

$168k - $322k

FurtherAI is building AI agents to revolutionize the insurance industry, a trillion-dollar market currently reliant on manual processes. We combine frontier agentic AI with deep domain expertise to transform critical industry operations. Having secured over $30 million in funding from top investors and experienced significant growth, we are a deeply technical company where engineers have a substantial impact on product direction. We are seeking an exceptional AI Engineer to lead our efforts in evaluating and continuously enhancing the quality of AI agents across our platform.

$300k - $350k

OpenAI

We are seeking a driven solutions leader with a product mindset to join our founding Partner Applied AI Engineer team. You will own the technical engagement with systems integrators and their strategic customers, ensuring they achieve tangible business value with Generative AI. Your role involves identifying high-value use cases, providing technical enablement through AI solution implementation, and accelerating partners' time to unlock distribution and adoption. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, reporting to the Head of Solutions Architecture.

Cohere

Cohere is seeking a Member of Technical Staff to join our Post-Training Data Infrastructure team. In this role, you will be responsible for building and managing the critical data pipelines that generate post-training data for our large language models (LLMs). This includes data for SFT, preference, and RL post-training, as well as synthetic and human-annotated data. You will collaborate closely with researchers and annotation teams to ensure rapid iteration on data, enabling them to keep pace with model development. Your work will be instrumental in advancing the capabilities of our foundation AI models and delivering value to enterprise customers.

CA$295k - CA$535k