Find your next AI Engineering role

We help the world’s biggest brands move from brief to fully personalized campaigns — in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing. We are looking for strong full-stack engineers across multiple levels to join our team and help us build innovative and elegant web applications and cloud services that deliver the power of Generative AI to our customers.

$210k - $240k

Assort Health is building a continuous conversation for every patient, powered by an AI agent that remembers context and carries it through their healthcare journey. The company has developed a proprietary dataset of 285 million patient interactions and is experiencing rapid growth, having raised $222 million. As a Research Engineer, you will be responsible for developing industry-leading healthcare AI models and pipelines, taking them from concept to production. You will own significant initiatives to advance the capabilities of AI models and agents in healthcare, ensuring high levels of reliability, efficiency, and precision.

$190k - $240k

As a Systems Architect on the MeshMesh team, you will be instrumental in shaping the technical foundation and long-term architecture of our mesh networking platform. This role involves close collaboration with engineering leaders to ensure the system can scale effectively with customer demand. You will define and document the overall system architecture across various services and components, evaluate technical trade-offs, and guide major design decisions. Your expertise will be crucial in ensuring architectural consistency as the platform evolves and in proactively identifying and designing solutions for scalability, performance, and reliability risks.

$218k - $365k

The Model Capabilities team at Notion is responsible for maintaining Notion AI's model layer, ensuring it remains at the cutting edge. This involves integrating new frontier models as they become available, guaranteeing reliable and cost-effective inference at scale, and developing new AI capabilities that can be leveraged by other teams within Notion. The role is based in either San Francisco or New York City, with a hybrid work arrangement requiring in-office presence on Mondays, Tuesdays, and Thursdays.

$255k - $300k

This role is for experienced software engineers looking to build AI-powered products. You will own user-facing surfaces end-to-end, from interaction design and frontend development to application logic, APIs, data models, and the underlying search or model calls. The team continuously ships to production, with new engineers often having code in front of users within their first week. You will leverage AI, including agents and coding models, as primary tools to accelerate development and improve product quality, focusing on reliability, latency, and craft. This is a full-stack position that suits individuals who enjoy building and have the autonomy to do so, with a focus on turning ambiguous product ideas into working prototypes and iterating based on usage data and evaluations.

$180k - $270k

Ramp is seeking a Machine Learning Engineer to lead the future of fraud machine learning. In this role, you will build core machine learning models, design data architectures, and set strategic roadmaps to mitigate fraud-related threats while minimizing friction for legitimate users. You will partner closely with product and engineering teams on model design, implementation, execution, and analysis. This is an opportunity to build systems that directly shape how companies move and manage billions.

$200k - $330k

Together AI

Together AI is building the AI Native Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art GPU cloud infrastructure. The Together Cloud team builds the flagship IaaS product that provides high-performance, AI-ready GPU clusters through a self-serve cloud console, along with the virtualized infrastructure layer powering Together's inference, RL, and fine-tuning products. As a Staff Software Engineer focusing on AI Compute, you will set technical direction for and build major components of the next generation AI cloud platform – a highly available, global cloud infrastructure with cutting-edge virtualization of the latest ML hardware. This is an architect-and-build role where you will set the architecture for automated bootstrapping of GPU data centers, high-performance virtualization, and fault-tolerant decentralized control planes, and be a key owner of the hardest parts, in the code as well as the design. Your designs will span the IaaS layer up to the global management plane that schedules capacity across all data centers. At this level, the job is as much leverage as code: the standards you set and the engineers you grow decide how fast the rest of Together Cloud ships.

$260k - $300k

Together AI

Together AI is building the AI Native Cloud, an end-to-end platform for the full generative AI lifecycle, combining a fast LLM inference engine with state-of-the-art GPU cloud infrastructure. The Together Cloud team builds the flagship IaaS product that provides high-performance, AI-ready GPU clusters through a self-serve cloud console, along with the virtualized infrastructure layer powering Together's inference, RL, and fine-tuning products. As a Senior Software Engineer focusing on AI Compute, you will build and own major components of the next generation AI cloud platform – a highly available, global cloud infrastructure with cutting-edge virtualization of the latest ML hardware. This virtualized computing platform powers our own SaaS products and serves external cloud customers through self-serve offerings. The hard problems in rapidly scaling heterogeneous GPU fleets are software problems that we solve by building global and in-DC services, Kubernetes operators, and high-performance SDN libraries, forking hypervisors and Linux kernels, and building infra tailored to inference and fine-tuning. You'll own massive greenfield projects across their full lifecycle – scoping the problem, designing the system, and building it through to GA launch.

$220k - $270k

As a Senior Engineering Manager, you will lead an engineering team focused on making large language models run faster, cheaper, and more reliably in production. This role balances team leadership with core systems and performance engineering on demanding models in production, requiring you to stay deeply technical and hands-on with the inference stack end to end. The work is applied, not academic, with optimizations landing in real customer deployments. You will tailor deployments to customer needs, take workloads from proof of concept to production, and ensure performance gains deliver clear business and customer value. This leadership role combines people management, technical direction, and hands-on coding and profiling, with a customer-facing component and elements of product and technical solutions leadership.

$250k - $300k

Commure is building the AI Operating System for healthcare, aiming to transform the industry's administrative burden. Their platform encompasses Ambient AI, Dictation, intelligent Agents, and autonomous Revenue Cycle Management (RCM) on a single AI-native platform integrated with numerous EHRs. The company's impact is significant, serving over 500,000 clinicians and handling billions in annual claims, backed by substantial funding and market recognition. The team operates with a direct connection to clinicians, ensuring immediate impact and a fast-paced, ownership-driven development cycle. This role is for an innovative Full Stack Engineer who can contribute to new solutions, scale features, and elevate engineering practices within a dynamic environment.

$130k - $180k

Commure is building the AI Operating System for healthcare, transforming administrative burdens in care delivery, documentation, and financing. Our platform integrates Ambient AI, intelligent Agents, and autonomous RCM to streamline healthcare operations. We are seeking a Software Engineer to develop the systems powering our AI Voice Agents, which handle patient interactions like scheduling, cancellations, and FAQs by integrating with EHR and telephony systems in real-time. This role offers significant growth opportunities within a fast-paced, impactful team.

$170k - $230k

Commure is developing an AI Operating System for healthcare, aiming to transform how care is delivered, documented, and financed. The platform includes Ambient AI, intelligent Agents for workflow automation, and autonomous RCM processing. We are seeking a Software Engineer to build the systems that power our AI Voice Agents, which handle patient interactions like scheduling, cancellations, and FAQs by integrating directly with EHR and telephony systems in real-time. This is a mid-level role on a fast-paced team that ships daily, offering significant opportunities for growth.

$130k - $180k

Sierra is a leading platform for customer-facing AI agents, partnering with major global brands to transform customer service and business growth. We are primarily an in-person company based in San Francisco, with a culture guided by values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing family. Our Tech, Media & Telecom team builds AI agents for critical moments, such as service disruptions or major product launches, to enhance customer relationships across telecommunications, media, and technology sectors. These agents aim to personalize experiences, optimize plans, drive engagement, and improve customer loyalty.

$180k - $390k

Sierra is a leading platform for customer-facing AI agents, partnering with major global brands to transform customer service and business growth. We are primarily an in-person company based in San Francisco, with a culture guided by values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing family. Our co-founders, Bret Taylor and Clay Bavor, bring extensive experience from leading tech companies like Salesforce, Facebook, and Google. The Travel, Transportation and Hospitality (TTH) team specifically supports major players in the travel industry, helping them deliver exceptional customer experiences, drive growth, and build innovative products. This is a small, scrappy, and collaborative team where every member is encouraged to think like a product owner and contribute to shaping the future of AI in travel.

$180k - $390k

Sierra is seeking a Software Engineer to join its Financial Services team, focusing on building customer-facing AI agents for major brands. This role involves designing, delivering, and iterating on production-grade AI agents that are mission-critical and drive revenue. You will own the Agent Development Life Cycle (ADLC) from pilot to deployment, working directly with enterprise clients and startups to solve complex business challenges. Your work will directly influence the evolution of Sierra's core platform, shaping the future of AI agent development. The team partners closely with financial institutions to transform customer experiences, making the industry more accessible, human, and affordable.

$180k - $390k

Sierra is a leading platform for customer-facing AI agents, partnering with major global brands to revolutionize customer service and business growth. We are an in-person company based in San Francisco with a culture guided by trust, customer obsession, craftsmanship, intensity, and a commitment to work-life balance. Our co-founders, Bret Taylor and Clay Bavor, bring extensive experience from leading tech companies like Salesforce, Facebook, and Google. The Retail Team specifically focuses on reinventing AI-first commerce for renowned brands such as Gap, Wayfair, and Sonos, handling millions of customer interactions annually across various channels. We aim to create seamless experiences that resolve issues, drive revenue, and build lasting customer loyalty.

Sierra is seeking a Software Engineer to join its Public Sector team, focusing on designing and building production-grade AI agents for government institutions. This role involves close collaboration with industry leadership to shape market strategy and product development, as well as working directly with public sector customers to understand their needs and identify opportunities for AI to improve citizen services and government operations. The position offers a unique opportunity to influence the evolution of Sierra's core platform by surfacing unmet needs and prototyping new features, contributing to the future of AI agent development within the public sector.

$180k - $390k

Sierra is a leading platform for customer-facing AI agents, partnering with major global brands to transform customer service and business growth. We are primarily an in-person company based in San Francisco, with a culture guided by values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing family. Our Financial Services team works with systemically important banks, neobanks, and insurers, impacting millions of end customers and billions in economic activity. We build modern tools that address critical customer moments, making the financial industry more accessible, human, and affordable.

$180k - $390k

Sierra is a leading platform for customer-facing AI agents, partnering with major global brands to transform customer service and business growth. We are an in-person company based in San Francisco with a culture guided by values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing family. Our co-founders have extensive experience from leading tech companies like Salesforce, Facebook, and Google. The Healthcare team is focused on transforming the patient experience across the healthcare system, making care more accessible, human, and affordable through AI agents that handle sensitive conversations with empathy and compliance.

$180k - $390k

Overview.ai is at the forefront of applying AI computer vision to manufacturing, tackling inspection challenges that traditional machine vision cannot solve. As a full-stack company, we deploy GPU-powered cameras, run edge inference, and manage a platform supporting global device fleets. We are experiencing rapid growth, with customers valuing our product's high accuracy, swift deployment, and user-friendly experience, enabling successful factory rollouts beyond pilot phases.

$80k - $110k

Arize AI is seeking an AI Education Engineer focused on developer growth to join their product team. This role is part of developer advocacy, connecting the product with the AI Engineer ecosystem. The ideal candidate will have an entrepreneurial mindset and a passion for growing the developer community through code, education, content, and hackathons. You will collaborate with engineers, product managers, and marketing professionals to build the next generation of AI systems, including agents, assistants, and LLM applications.

$100k - $175k

Arize AI is seeking an Applied AI Engineer focused on developer growth to join their product team. This role is ideal for individuals with an entrepreneurial mindset who are passionate about growing the developer community through code, education, content, and hackathons. You will work with a team of engineers, product managers, and marketers experienced in building next-generation AI systems, including agents, assistants, and LLM applications. The position connects product strategy with the AI engineer ecosystem, aiming to empower AI engineers to ship high-performing, reliable agents and applications.

$100k - $175k

Cerebras is developing a new generation of disaggregated AI inference systems that combine GPU-accelerated prefill with ultra-fast decode on the Cerebras Wafer-Scale Engine. We are seeking a Software Engineer to build and enhance the ML API layer, making this heterogeneous serving system accessible, reliable, and user-friendly. You will operate across our inference APIs, model integration layer, request-routing services, and the Cerebras inference platform to ensure a consistent experience across various models and accelerator backends. This role is at the intersection of machine learning systems, API design, model serving, and distributed systems, enabling new model architectures and inference capabilities while defining stable user-facing behavior and ensuring features like streaming, sampling, tool use, structured outputs, and multimodal inputs function correctly in production.

Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production. The Fullstack Engineering team builds both the highly scalable distributed services that power Arize's ML observability platform and the intuitive frontend applications that bring these capabilities to life, focusing on delivering robust features that help clients interpret, visualize, and monitor their AI and ML models across the entire stack.

$125k - $225k

Arize AI is seeking a Senior AI Product Engineer, Backend to join their core team driving product innovation. This role involves building and optimizing the highly scalable distributed services that power Arize's AI and Agent Engineering observability and evaluation platform. You will work on challenging technical problems, from efficient metric computation across billions of data points to designing next-generation OLAP database architectures and implementing advanced dimensionality reduction techniques. The position offers the opportunity to understand how leading engineering teams develop AI and LLM-powered applications and to build the tools that enable them to succeed.

$125k - $225k

Arize AI is seeking an experienced Forward Deployed AI Engineer to join their client-facing team. This role involves working directly with client engineering teams to manage projects and drive technical solutions that extend beyond Arize's core platform. The position requires a blend of deep AI expertise and business acumen to deliver results under tight deadlines while fostering strong client relationships. While the company operates as remote-first, candidates must be based in the San Francisco Bay area/PST time zone for this specific role.

$155k - $190k

As a new-grad Forward Deployed Engineer at Domino, you will work directly with customers to identify significant challenges in AI adoption within highly regulated industries. You will learn to utilize the Domino platform to develop solutions for mission-critical business operations. This role combines applied AI engineering and software engineering skills with customer empathy and domain knowledge. You will collaborate with experienced engineers to rapidly transform ambiguous customer problems into tangible solutions, which may include RAG pipelines, agentic workflows with automated evaluation, or software solutions for process automation. You will be responsible for writing code, designing end-to-end systems, and delivering impact in high-stakes environments across healthcare, life sciences, finance, and government sectors. Domino trusts new-grad engineers to contribute to critical, high-visibility projects from the outset, offering the chance to make a meaningful impact from day one.

$150k - $165k

Together AI

As a Forward Deployed Engineer (FDE) focused on Inference & Post-Training, you will be a hands-on technical partner to strategic customers looking to leverage high-quality models and perform inference at scale. You will act as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment, partnering with Solutions Architects. FDEs add significant value by ensuring complex Proofs of Concept (POCs) are met, facilitating platform adoption, and guiding tailored optimization efforts, directly impacting customer success and company growth.

$270k - $300k

Together AI

Together AI is building the Inference Platform to deliver advanced generative AI models, powering multi-tenant serverless workloads and dedicated endpoints. This platform enables developers, enterprises, and researchers to utilize the latest LLMs and multimodal models at scale. The role focuses on optimizing latency and maximizing the utilization of tens of thousands of GPUs. You will collaborate directly with research teams to productionize frontier models and engage with the open-source community, contributing to and leveraging projects like SGLang and vLLM to enhance inference performance and efficiency.

$200k - $290k

Together AI

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle. As a Senior Backend Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware and enables state-of-the-art ML practitioners with self-serve AI cloud services. This platform serves both internal StaaS products and external cloud customers across dozens of data centers worldwide.

$160k - $230k

Together AI

At Together AI, you will build and operate one of the world's largest GPU fleets for frontier model training and inference. This role is for engineers who excel at building systems, automating processes, and solving problems at a massive scale. If you prefer writing software over manual operations and aim to build infrastructure that autonomously manages tens of thousands of GPUs, we encourage you to apply.

$190k - $270k

Together AI

Together AI is seeking a Machine Learning Engineer to join our Inference Engine team, focusing on optimizing and enhancing the performance of our AI inference systems. This role involves working with state-of-the-art large language models and ensuring they run efficiently and effectively at scale. You will have the chance to collaborate closely with AI researchers and engineers to create cutting-edge AI solutions and shape the future of AI inference.

$200k - $300k

Together AI

Together AI is building the best inference infrastructure for voice applications, powering real-time voice agents and applications with best-in-class latency and reliability for speech-to-text and text-to-speech models. We are seeking a Senior ML Engineer to lead the model serving layer for voice workloads. You will optimize inference engines like TRT-LLM and SGLang to serve models such as Whisper, Parakeet, Orpheus, and Kokoro, focusing on pushing latency and throughput boundaries. This role involves profiling GPU utilization, designing batching strategies for streaming audio, and accelerating the transition of new model architectures from research to production. As a foundational hire on a small, high-impact team, you will address the unique challenges of voice inference, including streaming audio, real-time latency, and tokenization, shaping how Together serves voice models as the industry moves towards end-to-end speech-to-speech systems.

$200k - $260k

Together AI

In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll manage and scale high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies, and solve complex engineering challenges of operating at extreme throughput, low-latency data paths, and massive cluster-scale storage operations. You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale.

$250k - $300k

Together AI

Together AI is building the best inference infrastructure for voice applications, powering production-grade, real-time voice agents and applications with best-in-class latency and reliability for speech-to-text and text-to-speech models. We are seeking a Staff ML Engineer to lead the model serving layer for voice workloads. This role involves hands-on optimization of inference engines and models, profiling GPU utilization, designing batching strategies for streaming audio, and ensuring rapid deployment of new model architectures from research to production. This is a foundational hire on a small, high-impact team, addressing the unique challenges of voice inference such as streaming audio, tokenization, and real-time latency budgets, and shaping the future of voice model serving.

$220k - $280k

Together AI

As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. You will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems, and contribute to the co-design of efficient GPU architectures and programming models. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation.

$200k - $300k

Together AI

The Model Shaping team at Together AI focuses on tailoring open foundation models for downstream applications, building services that help machine learning developers select and improve models with domain-specific data. We also develop novel methods for efficient model training and evaluation, drawing from machine learning, natural language processing, and ML systems. As a Research Engineer on the Scaling Team, you will translate cutting-edge research in efficient foundation model training into robust, high-performance systems. You will optimize Together's training infrastructure, identify performance bottlenecks, and implement state-of-the-art techniques in production environments. Your work will directly influence the fine-tuning experience for Together's customers. You will integrate newly released open-source models onto the platform, ensuring efficient and reliable training across diverse workloads. Collaborating with Research Scientists, you will build experimental infrastructure to accelerate research and deploy validated ideas at scale.

$200k - $290k

Together AI

As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. You will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems, and contribute to the co-design of efficient GPU architectures and programming models. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation. This internship is based on-site at our San Francisco HQ, running through the Winter term from January to April.

Together AI

As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. You will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems, and contribute to the co-design of efficient GPU architectures and programming models. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation.

$121k - $146k

Together AI

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle. The AI Infrastructure team is at the forefront of building and scaling the foundational systems that power our generative AI platform. The storage and observability team is crucial for designing, implementing, and maintaining robust distributed storage solutions, ensuring seamless data access and management. They are also responsible for developing comprehensive observability platforms, providing critical insights into system performance and GPU utilization, and proactively identifying and resolving issues.

$200k - $280k