Deep Learning Jobs

Fireworks is seeking a Member of Technical Staff for its Research team to push the boundaries of generative AI. This role involves advancing LLMs and multimodal systems through foundational research, focusing on enhancing model efficiency, accuracy, and scalability to shape high-performance AI infrastructure. You will collaborate with experts in deep learning, distributed systems, and optimization to translate cutting-edge research into practical applications and influence how leading companies build and deploy AI.

OpenAI

As a Researcher for cybersecurity risks, you will help design and implement an end-to-end mitigation stack to reduce severe cyber misuse across OpenAI’s products. This role requires strong technical depth and close cross-functional collaboration to ensure safeguards are enforceable, scalable, and effective. You’ll contribute directly to building protections that remain robust as products, model capabilities, and attacker behaviors evolve. Models are becoming increasingly capable—moving from tools that assist humans to agents that can plan, execute, and adapt in the real world. As we push toward AGI, cybersecurity becomes one of the most important and urgent frontiers: the same systems that can accelerate productivity can also accelerate exploitation.

Synthesia is seeking a Staff Research Engineer to join their Voice team and contribute to the company's long-term vision of building the best human-interactive models. These advanced systems will go beyond simple conversation to perceive, respond to, and react to user actions and emotions in real-time. The role involves defining and driving this broader vision across teams, proposing ambitious research directions, and taking ownership of critical component design and implementation. You will collaborate closely with the voice lead, video teams, and other senior members to develop models that combine text, audio, and video for a seamless, interactive experience, moving beyond traditional turn-taking in speech models.

Cartesia is a foundation model company pioneering AI that learns and interacts with the world like humans. Our mission is to architect the next generation of AI, building on our invention of State Space Models (SSMs). We are a well-funded startup with a team of experts in AI research, systems engineering, and product development. As a Technical Sourcer, you will be instrumental in our growth by identifying and engaging top-tier technical talent. This is a hands-on role where you will source, screen, manage candidates, and contribute to strategic hiring initiatives. You will be responsible for developing and executing innovative sourcing strategies across various channels, building robust candidate pipelines, and crafting personalized outreach to attract exceptional individuals.

thinkingmachines

Thinking Machines Lab is seeking an infrastructure research engineer to design, optimize, and scale the systems that power large AI models. The goal is to make inference faster, more cost-effective, more reliable, and more reproducible, enabling research teams to focus on advancing model capabilities. This role is crucial for ensuring that every experiment, evaluation, and deployment runs smoothly at scale, with a focus on performant and efficient model inference for both real-world applications and research acceleration.

$350k - $475k

Runpod is seeking a Director of Infrastructure Engineering to lead and scale its core cloud and bare-metal environments. This pivotal role will oversee critical foundational layers including Site Reliability Engineering (SRE), global networking, High-Performance Computing (HPC) networks, and distributed storage engines. The ideal candidate will establish the operating rhythm, culture, and technical direction necessary to ensure Runpod's platform remains highly available, performant, and capable of meeting massive GPU computing demands. This position requires close partnership with Product Engineering, Product, and GTM leadership to support enterprise customers, focusing on delivering the fastest, most reliable, and lowest-latency infrastructure for large-scale AI workloads.

$225k - $325k

Skild AI is seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full machine learning lifecycle—model development, data strategy, evaluation, and production integration—to deliver robust, high-performance vision capabilities. This role combines applied research with hands-on engineering and offers the opportunity to influence both architecture and roadmap decisions.

Applied Intuition is seeking a Motion Planning Engineer to design and ship deterministic, safety-critical planning systems for autonomous vehicles. This role focuses on classical motion planning, predictable behavior, and large-scale evaluation, rather than deep learning-driven planning. You will contribute to and learn from best practices in the nascent autonomy industry, working in a dynamic, customer-focused team. If you are hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied is the place for you!

$60k - $300k

Mistral AI

Mistral AI is seeking an Applied AI Engineer to join their team and facilitate the adoption of their AI products among customers. This role involves collaborating with clients to address complex technical challenges, from pre-sale to post-implementation, ensuring Mistral's solutions meet and exceed expectations. The engineer will manage daily customer relations, act as a key resource in externalizing research into production settings, and work on state-of-the-art Generative AI applications across various industries. This position offers the opportunity to contribute to a pioneering company shaping the future of AI and make a meaningful impact.

pika

We are seeking Senior/Staff level Inference Engineers to accelerate the performance of Pika's AI-driven products. In this highly technical role, you will operate at the intersection of cutting-edge inference acceleration, GPU parallelism, advanced model deployment, and video generation technologies. Your expertise will drive significant improvements to model speed and efficiency, ensuring our creative AI systems deliver industry-leading user experiences at scale. You will design and optimize inference pipelines, implement state-of-the-art acceleration techniques, and work closely with researchers and engineers across the team to push the boundaries of what’s possible in real-time AI deployment. Your efforts will play a foundational role in powering the next generation of Pika’s video and language models.

OpenAI

As a Machine Learning Engineer in OpenAI's Integrity team, you will work with state-of-the-art models and classifiers, experiment with new architectures, and advance our capabilities in content and user understanding. This role offers the chance to transform research breakthroughs into tangible solutions that enhance platform trust and safety, particularly for those excited about training LLMs and building ML models. You will be instrumental in designing and deploying advanced machine learning models to solve real-world problems, bringing AI-driven applications from concept to implementation. Collaboration with researchers, software engineers, and product managers is key to delivering AI-powered solutions for complex business challenges. You will also optimize and scale data pipelines, ensure models are production-ready, and contribute to projects requiring cutting-edge technology. Staying ahead of the curve in machine learning and AI developments, participating in code reviews, and leading by example are essential aspects of this role, as is monitoring and maintaining deployed models to ensure continued value delivery.

Together AI

As a Research Intern in the Model Shaping team, you will work on advanced post-training methods, new techniques for efficient neural network training, and robust evaluation of foundation model capabilities. The Model Shaping team at Together AI focuses on tailoring open foundation models for downstream applications, building services for machine learning developers, and developing new methods for efficient model training and evaluation. This role offers the opportunity to contribute to cutting-edge research and potentially influence open-source projects.

Together AI

The Agents team investigates how to build, align, and scale frontier AI systems capable of complex, multi-step tasks and workflows across text and speech, with a focus on agentic and scientific domains. This role sits at the intersection of agent capabilities, human-computer interaction, and infrastructure, exploring areas like post-training methods for agentic behavior and developing evaluation frameworks for open-ended tasks. As a research intern, you will tackle challenges in alignment, reliability, and scalability, potentially working on new training recipes for self-learning and long-horizon reasoning, curating datasets, studying failure modes, or building scalable agent infrastructure.

Together AI

Together.ai is building state-of-the-art infrastructure for efficient and scalable inference of large language models (LLMs). The company's mission is to optimize inference frameworks, algorithms, and infrastructure to push the boundaries of performance, scalability, and cost-efficiency. They are seeking an Inference Frameworks and Optimization Engineer to design, develop, and optimize distributed inference engines for multimodal and language models at scale. This role will focus on low-latency, high-throughput inference, GPU/accelerator optimizations, and software-hardware co-design, ensuring efficient large-scale deployment of LLMs and vision models. This position offers a unique opportunity to shape the future of LLM inference infrastructure and ensure scalable, high-performance AI deployment across diverse applications.

$160k - $230k

Skild AI is seeking a Software Engineer to join their team and work on deploying cutting-edge AI models for embodied systems. This role focuses on optimizing AI inference processes for models ranging from lightweight to billion-parameter scale, ensuring robots operate efficiently and intelligently in real-world scenarios. You will bridge the gap between systems and machine learning, directly enhancing AI model power and adaptability by maintaining consistent performance under varying compute and hardware constraints.

OpenAI

As a member of the training team, you will push the frontier of LLM development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities. Relevant interests may include areas such as architecture design, long-context and efficient attention, optimization, and the science of scaling. Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands-on empirical approach. A good fit for this role will be equally happy coming up with a creative breakthrough, investing in strengthening a baseline, designing an eval, debugging a thorny regression, or tracking down a bottleneck.

Mistral AI

Mistral AI is looking for an Applied AI Engineer to join their customer-facing technical team. This role involves working directly with enterprise clients to deploy cutting-edge AI solutions and address complex technical challenges. You will bridge the gap between AI research and real-world applications, ensuring solutions are robust, scalable, and aligned with customer needs and Mistral's vision. The team operates with a focus on impact and collaboration, valuing direct communication and the best ideas regardless of seniority.

Skild AI is seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full machine learning lifecycle—model development, data strategy, evaluation, and production integration—to deliver robust, high-performance vision capabilities. This role combines applied research with hands-on engineering and offers the opportunity to influence both architecture and roadmap decisions.

Scale AI

The Enterprise ML team is at the forefront of the AI revolution, collaborating with customers to solve significant business challenges and develop advanced AI systems. This role involves leading a team of research scientists and engineers, shaping the research agenda, and overseeing the entire development lifecycle from prototyping to deployment. The ideal candidate is a leader comfortable with ambiguity, possessing a deep understanding of generative AI capabilities and limitations, and driven to transform research into robust, production-ready systems. You will mentor and grow a team, define a multi-year research roadmap, and foster an inclusive, high-performing culture.

$290k - $362k

Google DeepMind

Google DeepMind is seeking a Research Engineer to join their materials science team. This role involves accelerating the discovery of new functional materials by integrating artificial intelligence, computational simulation, and automated experimentation. You will collaborate with a diverse interdisciplinary team of domain experts, ML researchers, and engineers. The work focuses on pioneering research in various scientific domains, enabling the validation of early ideas and building infrastructure for promising research lines. You will contribute your scientific domain knowledge to the team's collective expertise.

$141k - $202k