Machine Learning Jobs

Scale AI

Scale works with leading AI labs to accelerate GenAI research by providing high-quality data. This role focuses on optimizing data curation and evaluation to enhance LLM capabilities in text and multimodal modalities. You will develop novel methods to improve the alignment and generalization of large-scale generative models, collaborate with researchers and engineers on best practices in data-driven AI development, and partner with foundation model labs to provide technical and strategic input on next-generation generative AI models.

$166k - $207k

Scale AI

Scale Labs is launching a new team focused on policy research to bridge the gap between AI research and global policymakers, enabling informed, scientific decisions about AI risks and capabilities. This team tackles fundamental challenges in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. The role involves collaborating broadly across industry, the public sector, and academia, and regularly publishing findings to shape the future of AI safety and alignment.

$216k - $270k

Scale AI

Scale Labs is launching a new team focused on policy research to bridge the gap between AI research and global policymakers, enabling informed, scientific decisions about AI risks and capabilities. This team tackles complex problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. The Research Scientist, AI Controls and Monitoring will design methods, systems, and experiments to ensure advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments.

$216k - $270k

Scale AI

Scale Labs is seeking a Research Scientist focused on Safety Post-Training to develop and apply methods for making frontier AI systems safer and more understandable. This role involves designing and executing post-training pipelines to analyze how training choices impact model safety, robustness, and alignment. You will also develop evaluations informed by interpretability techniques to uncover the reasons behind undesirable model behaviors and use these insights to guide targeted safety mitigations. A key aspect of this position is collaborating with policymakers, engineers, and other researchers to translate findings into actionable safety standards, benchmarks, and best practices.

$216k - $270k

Scale AI

Scale AI is seeking a Senior/Staff Machine Learning Engineer to join the General Agents team, focusing on building robust, production-ready AI agents for enterprise use cases. This role involves working across the entire agent lifecycle, from design and development to evaluation, deployment, and iteration. You will translate cutting-edge agentic techniques into reliable systems that solve high-impact business problems, emphasizing generalization, extensibility, and deployment across multiple customers. The team operates at the intersection of frontier agent development and real-world application, aiming to deliver significant economic value through scalable agent systems.

$290k - $363k

Scale AI

This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions.

$302k - $378k

Scale AI

Scale's Machine Learning Research team is at the forefront of AI development, building the foundation for next-generation AI systems. We push the boundaries of frontier models, focusing on safety, reliability, and alignment. Our work encompasses generative AI, reinforcement learning, advanced post-training methods, scalable oversight, synthetic data, red teaming, and evaluation science. We are developing a large-scale hybrid human-machine system to power ML pipelines for numerous industry-leading customers, supporting complex and advanced AI use cases. As an intern, you will contribute to impactful production ML applications and cutting-edge research, guided by world-class researchers and collaborating with leading teams across industry and academia. Interns are expected to deliver real, published, or shipped work.

$120k - $150k

Fin, now part of Salesforce, is seeking Forward Deployed Engineers to help bridge the gap between customer needs and product innovation. These roles involve working hands-on with strategic customers, partnering closely with R&D and Go-to-Market teams to design and deliver high-impact solutions. You will go beyond implementation to shape product direction, influence roadmap decisions, and ensure Fin delivers real, measurable business outcomes in complex, real-world environments. This role offers a rare opportunity to combine technical excellence with real customer impact, ideal for those excited by ownership, creativity, and solving ambiguous problems at the frontier of applied AI.

$180k - $200k

Fin, now part of Salesforce, is seeking Forward Deployed Engineers to bridge the gap between customer needs and product innovation. These roles involve working hands-on with strategic customers, partnering with R&D and Go-to-Market teams to design and deliver high-impact solutions. You will go beyond implementation to shape product direction, influence roadmap decisions, and ensure Fin delivers measurable business outcomes in complex, real-world environments. This role offers a unique opportunity to combine technical excellence with real customer impact, ideal for those excited by ownership, creativity, and solving ambiguous problems at the frontier of applied AI.

$215k - $237k

SpaceXSI is building Super Intelligence to help humanity understand the universe, developing the full Super Intelligence stack from supercomputers to large language models and applications. This role is at the intersection of engineering and data operations, focusing on ensuring engineering teams receive high-quality data for training and evaluation. You will partner with model teams, design projects to capture meaningful signals, and drive data yield and evaluation lift, influencing data strategy through hands-on technical work.

$144k - $220k

OpenAI

OpenAI is seeking a senior Machine Learning Data Scientist to lead its forecasting initiatives within the Strategic Finance team. This is a founding role for the Forecasting pillar, responsible for building and scaling robust, interpretable, and production-ready forecasting systems. The models developed will be crucial for predicting key business metrics like daily/weekly active users, revenue, lifetime value, compute consumption, and profitability, directly influencing critical business decisions and company strategy. This role requires a blend of technical expertise, product intuition, and business acumen, involving close collaboration with product managers, researchers, engineers, and finance leaders to operationalize insights and build foundational forecasting capabilities.

$347k - $445k

Abundant is building the NVIDIA of training data, recognizing the critical need for scaling data as AI models advance beyond supervised learning to reinforcement learning and learning from experience. Our founding team brings deep expertise from leading AI organizations, with a proven track record in deploying large-scale deep learning models, training state-of-the-art self-driving models, and managing massive data pipelines. We are at the forefront of innovation, addressing the scarcity of training data by advancing simulation, synthetic data generation, and learning from experience, which are essential for achieving AGI, ASI, and physical intelligence. We partner with top AI labs and enterprises to provide the data necessary for models to move from general knowledge to domain expertise and from chatbots to agents.

$168k - $168k

We are seeking a Senior Scientist to spearhead research in advancing AI models and agents specifically for cybersecurity applications. This role involves enhancing capabilities like security reasoning, code and system understanding, planning, tool use, and long-horizon investigation, with the goal of applying these to critical security challenges. The ideal candidate will drive progress in underlying models, agent architectures, data strategies, training methodologies, and evaluation techniques, while also addressing the unique demands of real-world security environments such as high precision, robustness against adversaries, explainability, and privacy. This position offers a unique opportunity to shape research direction, influence future platforms, and translate foundational AI advancements into practical cybersecurity tools and workflows in collaboration with cross-functional teams.

$224k - $431k

Databricks

Databricks is seeking a Senior Software Engineer for its AI Runtime (AIR) team. AIR is a managed platform designed for large-scale GPU training and fine-tuning of AI models, providing customers with on-demand access to accelerators and a serverless experience that simplifies the complexities of provisioning, scheduling, and orchestrating multi-node jobs. As a Senior Software Engineer on AIR, you will be instrumental in building and scaling the systems that ensure large-scale training is fast, reliable, and effortless. You will lead the architecture and evolution of the managed GPU training stack, focusing on areas such as scheduling, distributed training performance, fault tolerance, and the developer experience for large-scale job operations. Beyond hands-on system development, you will contribute to the technical vision for AIR, mentor engineers, and collaborate with product, research, and platform teams to expand the impact of custom AI training at Databricks.

$160k - $225k

OpenAI

We are seeking a Researcher to lead our safety and alignment research, focusing on building systems that can distinguish valuable web content from spam, manipulation, and other adversarial or low-quality material. This role involves tackling the challenge of detecting coordinated manipulation that may not be apparent when evaluating individual pages in isolation. As AI advances the ease of producing convincing content at scale, you will be responsible for adapting detection systems to counter increasingly sophisticated adversaries. You will define the technical strategy, develop classifiers and evaluations, and influence how integrity signals shape Search's indexing and retrieval processes. Collaborating closely with Search and broader Safety and Integrity teams, you will leverage frontier models to enhance detection methods and implement them in production.

$380k - $850k

OpenAI

The Foundations Research team is focused on high-impact, forward-looking AI research, particularly for future frontier models. Within this team, the Search group is developing agentic search capabilities by co-designing model-system interfaces with the core search stack, including serving, indexing, and retrieval. We build and research large-scale systems to transform and index vast amounts of data, enabling AI models to effectively find and reason over information. This role involves researching and developing methods for extracting and utilizing semi-structured knowledge graphs from heterogeneous web content. The core objective is to make this information more accessible and useful for AI models, addressing key questions about the optimal structure for information retrieval, scalable extraction techniques, and how to measure and improve model reasoning capabilities. You will collaborate across research, data, and systems to advance how knowledge is extracted, organized, and retrieved, with potential for scientific publication and impact across OpenAI products.

$380k - $850k

AssemblyAI is a leading Voice AI company developing foundational speech models that power the next generation of voice applications. We operate at a significant scale, processing millions of hours of audio daily and serving billions of end-user experiences. This is a growth-stage opportunity within a capital-efficient company that offers significant ownership and impact. We foster a flat culture where employees are deeply involved in the details and can drive their work forward without bureaucratic hurdles. If you are passionate about Voice AI and want to solve interesting problems at scale, this is the place for you.

$270k - $310k

The Learning Team at ClickHouse is expanding rapidly, and we're seeking a Technical Curriculum Developer to enhance our hands-on training experience. This role involves accelerating technical content creation by integrating AI-powered tools and agents directly into the learning process. You will be responsible for the infrastructure that supports content releases, certification exams, courses, and learning environments. Additionally, you will spearhead GenAI initiatives to improve content development efficiency and build an AI-powered user experience for our students.

We are seeking a visionary and hands-on Lead Machine Learning Engineer to join our Austin team. In this role, you will be the principal architect behind the next generation of our unified AI/ML platform, designing and building the infrastructure that powers everything from traditional predictive models to generative AI, large language models (LLMs), and autonomous agent frameworks. You will own the end-to-end technical strategy, blueprint, and execution of scalable backend services and data pipelines that support AI-driven applications across go-to-market, engineering, and product teams. Because our products are initiated and owned entirely within the team, you will drive the vision from initial requirements and system design to global deployment, optimization, and long-term evolutionary ownership.

Datadog AI Research (DAIR) is partnering with Carnegie Mellon University to support PhD students working on open research problems grounded by ongoing efforts at Datadog/DAIR. You will frame a problem, run your own experiments, and write up what you find, with compute and data at a scale most academic labs cannot provide. You will collaborate with colleagues working on the same questions. DAIR is an industrial research lab motivated by practical challenges in observability and software operation, focusing on creating specialized foundation models, post-training and evaluating AI agents, and building frontier-scale machine learning systems. Internship projects are shaped with your DAIR mentor and your CMU faculty advisor.

$110k - $140k