Machine Learning Jobs

Anthropic

Anthropic's Safeguards organization is responsible for developing the policies, evaluations, and enforcement systems that prevent AI models from causing catastrophic harm. We are seeking a manager to lead our biological safety research engineering team. This team focuses on creating the evaluations, datasets, and classifiers that govern how our models handle biological knowledge. You will guide a team of research scientists and engineers in designing and executing capability evaluations on frontier models, curating safety classifier training data, and training/iterating on these classifiers. Your role involves setting technical direction, making investment decisions, and owning team outcomes, while maintaining technical depth to review designs and analyze failure modes. The team's core challenge is balancing robust safeguards against sophisticated actors with enabling legitimate researchers in the life sciences.

$405k - $485k

OpenAI

OpenAI is seeking a researcher passionate about understanding deep networks, with a strong background in engineering, quantitative reasoning, and the research process. You will develop and carry out a research plan in mechanistic interpretability, in close collaboration with a highly motivated team. You will play a critical role in helping OpenAI ensure future models remain safe even as they grow in capability. This will make a significant impact on our goal of building and deploying safe AGI. The Interpretability team studies internal representations of deep learning models, aiming to understand model behavior and engineer models with more understandable representations, with a particular focus on ensuring the alignment of powerful AI systems.

$295k - $500k

Ambral Labs is building a platform to help enterprises leverage their historical data to improve AI model performance. The system reconstructs past company workflows into replayable environments, allowing for the evaluation and enhancement of agent behavior through reinforcement learning and other post-training techniques. This enables companies to develop better, more cost-efficient AI models that they own and control, rather than relying on third-party providers. Having graduated from YC and secured significant funding, Ambral Labs is now expanding its founding team.

$165k - $325k

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. This role leads a team of engineers focused on the critical control plane for Anthropic's inference fleet. This involves making key decisions about request routing and capacity allocation to meet throughput, reliability, and latency goals. The team designs placement and load-balancing algorithms, builds quantitative models for demand and performance, and optimizes latency across various system boundaries. The Engineering Manager will guide a team of ML platform, infrastructure, and distributed systems engineers, ensuring the efficiency, reliability, and evolution of the entire request-to-model path.

$405k - $625k

Physical Intelligence is building general-purpose AI for the physical world, developing foundation models and learning algorithms for robots and future devices. As an ML Infra Engineer focused on Data Systems, you will construct and manage the data infrastructure essential for large-scale robot learning. Your work will bridge raw data sources and the training/evaluation phases, ensuring speed, accuracy, and reliability as systems scale. This role is a systems-focused position at the intersection of distributed systems, storage, and machine learning infrastructure.

Alignerr, Labelbox's human data organization, is seeking a Forward Deployed Research Scientist to join their team. This role sits at the intersection of research science and client delivery, embedding research capability directly into client engagements. Unlike traditional research roles, you will work on multiple client projects simultaneously, operating on short timescales of days to weeks. You will engage with research teams at major AI labs, reason scientifically about data strategy in real time, fine-tune open-weight models to validate data methodology, and collaborate with the Applied Research team on publications. This fast-paced, applied role offers clear ownership and autonomy, with career growth directly tied to your contributions.

$200k - $300k

NVIDIA is seeking a Machine Learning Engineer to join the GPU accelerated Apache Spark team. This role involves working with the open-source community to enhance Apache Spark's performance and cost-efficiency on NVIDIA GPUs, enabling enterprises to scale their Spark workloads. You will apply advanced ML/AI techniques to optimize these large-scale data processing applications.

$224k - $357k

NVIDIA is seeking a motivated system software engineer with deep understanding of device drivers and strong C/C++ skills to work on the CUDA Driver. This role is integral to a team that delivers features and improvements to realize the full potential of NVIDIA hardware for a wide range of computational workloads, including deep learning, scientific computation, data science, self-driving cars, video games, and virtual reality. You will use your design abilities, coding expertise, and creativity to craft elegant solutions to exciting problems and shape the future direction of CUDA by collaborating with peers across NVIDIA.

$152k - $288k

OpenAI

We are seeking a Manager to build, lead, and develop a high-performing team of Applied AI Engineers supporting our enterprise customers. You will be accountable for the technical success of a broad and strategically important customer portfolio. You will help your team identify high-value opportunities, design and deploy production-grade AI systems, navigate complex technical and organizational constraints, and expand successful implementations across workflows, teams, and business units. This role requires technical depth, people leadership, customer judgment, and operational rigor. You should be comfortable coaching engineers through architecture and evaluation decisions, engaging directly in high-stakes customer situations, and collaborating with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal.

$251k - $335k