Together AI's Posts (85)

2025-07-19

Machine Learning Engineer

About the Role Together AI is looking for an ML Engineer who will develop systems and APIs that enable our customers to perform inference and fine tune LLMs. Relevant experience includes implementing runtime systems that perform inference at scale using AI/ML models from simple models up to the largest LLMs. Requirements Responsibilities About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $220,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy athttps://www.together.ai/privacy - 5+ years experience writing high-performance, well-tested, production quality code - Bachelor’s degree in computer science or equivalent industry experience - Familiar with LLM inference ecosystem, including frameworks and engines (e.g. vLLM, SGLang, TRT, ...) - Demonstrated experience in building large scale, fault tolerant, distributed systems like storage, search, and computation - Expert level programmer in one or more of Python, Go, Rust, or C/C++ - Experience implementing runtime inference services at scale or similar - Design and build the production systems that power the Together Cloud inference and fine-tuning APIs, enabling reliability and performance at scale - Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world - Analyze and improve efficiency, scalability, and stability of various system resources - Conduct design and code reviews - Create services, tools & developer documentation - Create testing frameworks for robustness and fault-tolerance - Participate in an on-call rotation to respond to critical incidents as needed

Location: San Francisco

Salary range: None - None

2025-07-19

Machine Learning Operations (MLOps) Engineer

Together AI is looking for an MLOps engineer who will develop systems and APIs that enable our customers to perform inference and fine tune LLMs. Relevant experience includes implementing runtime systems that perform inference at scale using AI/ML models from simple models up to the largest LLMs. Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $240,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy athttps://www.together.ai/privacy - 5+ years experience working on a production level ML training or inference system. - Bachelor’s degree in computer science or equivalent industry experience. - Strong understanding of the state of the art in machine learning especially LLMs. - Experience with DevOps practices like CI/CD, automation, containerization (Docker), and orchestration (Kubernetes). - Proficiency in cloud platforms like AWS, Google Cloud, or Azure. - Expertise in programming (Python, go, etc.) and frameworks for ML (TensorFlow, PyTorch, Scikit-learn). - Work closely with engineering, research, and sales on deploying, evaluating, and operating inference systems for both customers and internal use. - Build and maintain tools, services, and documentation for automation and testing. - Analyze and improve efficiency, scalability, and stability of various system resources. - Conduct design and code reviews. - Participate in an on-call rotation to respond to critical incidents as needed.

Location: San Francisco

Salary range: None - None

2025-07-19

Research Scientist, Post-TrainingNew

The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. As a Research Scientist in Post-Training, you will advance the methods for making foundation models more useful and reliable. You will analyze the limitations of current approaches to post-training across domains such as data curation, reinforcement learning, and model evaluation. Based on this analysis, you will design new techniques for model adaptation, as well as benchmarks for measuring the progress in the field. After evaluating your ideas through experimentation, you will present your findings to the global scientific community at leading ML/NLP conferences and collaborate with your teammates to integrate those improvements into Together’s platform. Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, RedPajama, SWARM Parallelism, and SpecExec. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is $225,000 - $300,000. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy athttps://www.together.ai/privacy - Define and drive the research agenda around efficiency and performance of foundation model training - Study recent results from the broader AI research community, analyzing their relevance to the team’s research directions and ongoing projects - Conduct experiments to empirically validate your hypotheses and compare the outcomes with relevant related work - Share your findings both internally and externally (e.g., at top-tier conferences on ML and NLP) - Partner with Machine Learning Engineers to integrate advanced methods into Together’s Model Shaping platform - Can autonomously design, implement, and validate your research ideas - Skilled at writing high-quality and efficient code in Python and PyTorch - Have first-author publications at leading conferences on ML or NLP (ICLR, ICML, NeurIPS, ACL, EMNLP) - Are a strong communicator, ready to both discuss your research plans with other scientists and explain them to broader audience - Follow the latest advances in relevant subfields of AI - Are passionate about seeing your research create real-world impact through Together AI's services and willing to work hands-on with production systems to achieve it - Reinforcement learning of language models - Curation of pre-training or post-training datasets and benchmarks - Robust evaluation of foundation models - Running large-scale experiments on GPU clusters

Location: San Francisco, Amsterdam, London

Salary range: None - None

2025-07-19

Lead Cloud Infrastructure Engineer

Together AI is hiring a Lead Cloud Infrastructure Engineer to own and operate the cloud foundation that powers our rapidly scaling data platforms. In this role, you will be the primary engineer responsible for defining, building, and maintaining the AWS infrastructure that underpins data engineering systems across the company — from internal analytics pipelines to customer-facing metering and billing systems. You will work closely with multiple data engineering teams, enabling them to move faster by building reliable, secure-by-default infrastructure they can depend on. You’ll partner with our dedicated security engineering team to ensure best practices around IAM, network design, and data lake access — while focusing on platform reliability, scalability, and developer experience. This is a high-ownership, hands-on engineering role. You’ll manage everything from Terraform modules and CI/CD pipelines to Lake Formation permissions and observability tools — with a mandate to build infrastructure that just works, and keeps working. Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $240,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy athttps://www.together.ai/privacy - Own the design, implementation, and operation of all AWS-based infrastructure supporting data systems - Build and maintain reproducible, well-documented Terraform infrastructure modules - Collaborate with multiple data engineering teams to understand and support their infrastructure needs - Implement and maintain IAM policies and Lake Formation permissions in partnership with the security engineering team - Build internal tooling and automation to support self-service infra provisioning - Monitor infrastructure health and cost, and drive continuous improvements in reliability and efficiency - Serve as the point person for infrastructure questions, issues, and requests across the company’s data platforms - 5+ years of experience in infrastructure, SRE, or DevOps roles - Deep experience with Terraform and AWS infrastructure design, including VPCs, IAM, S3, EC2, etc. - Experience with access control and permissions in AWS, including Lake Formation or similar - Experience supporting data infrastructure or working alongside data engineering teams (Kafka/Kinesis/ClickHouse a plus) - Familiarity with CI/CD for infrastructure (GitHub Actions, TeamCity, ArgoCD, etc.) - Proficiency in scripting or programming (Python, Go, or Bash preferred) - Comfortable working autonomously and supporting multiple stakeholders - Bonus: experience with Kubernetes, hybrid cloud/on-prem infrastructure, or cost optimization at scale

Location: San Francisco

Salary range: None - None

2025-07-19

Platform Engineer, Model ShapingNew

The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. As a Platform Engineer at Model Shaping, you will work on the foundational layers of Together’s platform for model customization and evaluation. You will design the infrastructure and backend services that will allow us to sustainably and reliably scale the systems powering production workflows launched by our users, as well as internal research experiments. You will operate in a cross-functional environment, collaborating with other engineers and researchers in the team to improve the infrastructure based on the needs of projects they work on. You will also interact with other engineering teams at Together (such as Commerce, Data Engineering, and Cloud Infrastructure) to integrate the services developed by Model Shaping with systems developed by those teams. Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, RedPajama, SWARM Parallelism, and SpecExec. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is $200,000 - $290,000. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy athttps://www.together.ai/privacy - Design and build Together’s systems and infrastructure for model customization, including user-facing features and internal improvements - Contribute to reliability improvements for the platform, participating in an on-call rotation and improving processes for incident response - Create and improve internal tooling for deployment, continuous integration, and observability - Build a job orchestration platform spanning multiple data centers, supporting a highly heterogeneous hardware landscape - Partner with teams developing internal services, co-designing these services and incorporating them in systems built by Model Shaping - 3+ years of experience in building infrastructure or backend components of production services - Comfortable with the fundamentals of Linux environments and modern container/orchestration stacks (e.g., Docker and Kubernetes) - Strong software engineering background in Python or Go - Experienced with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD) - Skilled with analyzing non-trivial issues of complex software systems and documenting your findings - Have cloud environment (e.g., AWS/GCP/Azure) administration experience, preferably with a hybrid bare-metal/cloud environment - Strong communication skills, willing to document systems and processes and collaborate with peers of varying technical expertise - Developing large-scale production systems with high reliability requirements - Pipeline orchestration frameworks (e.g., Kubeflow, Argo Workflows, Flyte) - Managing GPU workloads on HPC clusters, ideally with hands-on experience in operating NVIDIA’s networking stack (e.g., NCCL, Mellanox firmware, GPUDirect RDMA) - Deployment of services for AI training or inference - Maintaining or contributing to open-source projects

Location: San Francisco

Salary range: None - None

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