Machine Learning Jobs

Code Metal is seeking a Staff Python Engineer to join their Modeling & Simulation team. This role will focus on building the Python services, pipelines, and tooling that drive a next-generation wargaming and decision-support platform. You will design backend services and APIs, integrate with simulators, manage data, and expose results to analysts and government stakeholders. The position involves developing backend infrastructure that interfaces with AI and machine learning pipelines, designing scenario-generation and analysis workflows, and building distributed, cloud-scale infrastructure to support simulations across various environments while ensuring reproducibility and model provenance. Strong command of cloud services and distributed architectures is essential.

$200k - $250k

Code Metal is seeking a Principal Python Engineer to join their Modeling & Simulation team. This role will focus on building the Python services, pipelines, and tooling that drive the core wargaming simulation for a next-generation decision-support platform. You will design backend services and APIs that interface with the frontend, integrate with simulators, manage data, and expose results to analysts and government stakeholders. The position involves developing backend infrastructure that interfaces with agentic AI and machine learning pipelines, designing scenario-generation and campaign-evaluation workflows, and building distributed, cloud-scale infrastructure for running simulations. Strong command of cloud services and distributed architectures is essential.

$250k - $290k

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We build open models that empower individuals to control their AI and shape its future. This role focuses on designing and operating large-scale multilingual data pipelines, ensuring the quality and effectiveness of data used for training advanced language models. You will contribute to scientific experiments aimed at improving multilingual data efficiency in large language models and develop evaluation sets to identify and address model performance gaps across different languages and domains.

NVIDIA is seeking a Distinguished Engineer to lead the new AI Safety & Security Engineering team. This role is foundational, focusing on building AI-powered tools to identify, validate, and patch software vulnerabilities. You will own the core harness architecture and establish engineering standards, guiding the program from prototypes to a production pipeline. Your technical roadmap will influence how NVIDIA designs, tests, and validates safety-critical AI systems. This position requires close collaboration with engineering managers, security partners, and evaluation teams, acting as a bridge between research and enterprise-grade software engineering. Teaching and mentorship are key components, involving design reviews and upholding high code quality and safety standards.

$320k - $489k

OpenAI

The Partner Applied AI Engineer team focuses on the safe and effective deployment of Generative AI applications for developers and enterprises. As a founding member of this team, you will act as a trusted advisor and technical partner to customers, guiding them through their AI adoption strategy. Your role involves developing tailored GenAI use cases for various industries and driving these initiatives from prototype to production through hands-on technical guidance and collaboration. You will work closely with systems integrators and their strategic clients to transform businesses using AI solutions like customer service automation and novel applications leveraging advanced AI models.

$197k - $278k

ClickHouse is seeking a Senior Software Engineer to spearhead the development of AI/ML-powered features within ClickHouse Cloud. This role involves integrating high-performance database technology with AI capabilities, building end-to-end solutions that span from the Inference API layer to user interfaces. The goal is to enhance how users interact with and derive value from their data through AI-driven enhancements.

$147k - $238k

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. The founding team brings extensive experience from leading AI organizations, with a proven track record in deploying deep learning models at scale, training state-of-the-art models, and managing large data pipelines. As a Member of Technical Staff, you will collaborate directly with the founding team to architect the future of model reasoning and intelligence, working at the intersection of research and execution to push the boundaries of AI capabilities.

$120k - $120k

Parallel Wireless is seeking a skilled wireless systems engineer to lead the development of a multi-RAT digital twin for their Open RAN solution. This role involves executing production RAN software within a closed-loop simulation environment, enabling engineering teams to design, evaluate, and compare features for LTE, 5G NR, and 2G without the need for physical radio setups. The position is a senior individual contributor role at the intersection of wireless systems, simulation, production software, and AI/ML, focused on evolving an existing simulator into a scalable platform for feature development, testing, and optimization.

Anthropic

The Safeguards ML Sampling Path team builds and operates the production services that power Claude's safety systems. These services are critical, sitting on the token generation path across every platform Claude runs on. You will be responsible for keeping p99 latency flat as traffic grows, building for robustness against dependency failures, and safely shipping changes to a system that cannot go down. This role requires a strong foundation in distributed systems and a focus on designing systems for graceful degradation.

$320k - $485k

Crusoe is seeking a Staff Applied AI Inference Engineer to accelerate the abundance of energy and intelligence by optimizing large language models for production environments. This role involves owning the inference stack end-to-end, focusing on profiling, applying modern optimization techniques, and deep dives into serving code to enhance speed, reduce cost, and improve reliability. The work is hands-on, involving coding, profiling, and low-level optimization, with a customer-facing component to tailor deployments to specific needs and ensure performance gains are realized in real-world scenarios. You will transition workloads from proof-of-concept to fully monitored production services, making this a core systems and performance engineering role on demanding AI workloads.

$215k - $260k

Mercor is a leading AI data company that organizes human intelligence to power the AI economy. We are building the layer between human expertise and frontier models, enabling millions of domain experts to train AI models. Our mission involves creating a new category of work where expertise drives AI advancement, requiring an ambitious and committed team working at the forefront of AI systems. The Frontier Data Products team is responsible for transforming complex multimodal inputs (images, video, audio, documents) into reliable, customer-ready data products at scale. This role is a player-coach position, balancing technical contributions with people leadership, including writing production code, owning architectural decisions, and resolving complex production issues. It also involves hiring, coaching, and organizing a team to operate with clear ownership and independent judgment, focusing on product quality, reliability, and usefulness.

$300k - $420k

OpenAI

We are seeking a driven solutions leader with a product mindset to partner with public sector customers and ensure they achieve tangible value with GenAI. You will collaborate with government agencies, policymakers, and public institutions to establish a GenAI strategy and identify the highest value applications. You will then partner with their technical teams, subject matter experts, systems integrators, and implementation partners to move from prototype through production, designing an architecture using the OpenAI API and other services to maximize customer value. This role involves deeply embedding with sophisticated public sector customers as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API and other OpenAI foundational technologies like Codex.

$211k - $302k

NVIDIA AI for Media is seeking outstanding engineers to join its team, focusing on building and optimizing real-time AI solutions for media and entertainment workflows. This role will involve setting the technical direction for content authenticity AI, architecting model and pipeline strategies for detecting synthetic and manipulated media, and making critical build-vs-adapt decisions. The team works on core technologies to solve ambitious computer vision and deep learning problems, aiming to deliver studio-quality audio and high-resolution video enhancement and effects.

$272k - $431k

Anthropic

At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. As a Research Engineer, you'll help to safely advance the capabilities of our models in incident response, security analysis, vulnerability remediation, and other areas of defensive cybersecurity. This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic. This role requires ML experience combined with domain expertise in cybersecurity. You might be an ML researcher with a history of cybersecurity work, or a security professional with a background in ML.

Decagon is seeking a Research Engineer focused on Audio and Speech to build and productionize models and agent harnesses for real-time voice agents. This role involves advancing multimodal and full-duplex systems capable of natural, real-time listening, reasoning, speaking, and responding. The ideal candidate will own their work end-to-end, ship impactful improvements, and make high-level technical decisions in a collaborative environment.

$200k - $400k

Blissway is a startup focused on simplifying toll collection and improving highway safety through deep tech, AI/ML, hardware, SaaS, and IoT. We have established a significant technological lead in the tolling industry, a market projected to double in the next decade. Our lean team operates across the entire system, from roadside cameras to final billing, ensuring every vehicle processed results in an accurate toll transaction. We are seeking an engineer who is passionate about shipping models into production and owning the full lifecycle from raw sensor data to deployment monitoring, cloud to edge. This role is ideal for someone who thrives on taking models from a notebook to real-world application.

$145k - $195k

Moveworks is seeking a Machine Learning Engineer to develop cutting-edge ML infrastructure for building and serving LLMs. This role is pivotal in constructing, optimizing, and scaling end-to-end machine learning systems, encompassing distributed training and inference pipelines for large language models, model evaluation and monitoring frameworks, and LLM latency optimization. The frameworks developed will serve as a robust foundation for hundreds of ML and NLP models in production, impacting millions of enterprise employees. You will address challenges in service scalability and core algorithm optimization, working closely with machine learning, data infrastructure, and core skill teams. Your contributions will significantly influence customer AI experiences and the long-term scalability of our core AI product.

OpenAI

The Agent Safety team is dedicated to ensuring that advanced AI agents operate safely, make sound judgments, and align with user intentions. The mission is to minimize the risk of severe unintended consequences from increasingly capable AI agents while maintaining their effectiveness and autonomy. This involves creating training methods, environments, and data to teach agents better decision-making, building evaluation systems to identify emerging risks, and developing oversight mechanisms to reduce harmful actions.

$380k - $500k

Lightning AI is seeking a Senior Application Security Engineer to safeguard their AI, machine learning, and inference platforms. This is a hands-on technical role focused on integrating security into modern AI infrastructure, inference systems, and developer platforms. You will collaborate with platform engineers, ML engineers, and infrastructure teams to identify risks, design secure architectures, and develop security tooling that empowers engineers to operate efficiently and securely. The role is execution-driven, involving technical implementation, in-depth security reviews, and contributing to the growth of application security capabilities.

$180k - $220k

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

$320k - $485k