Job Url: https://www.glassdoor.com/Job/united-states-python-jobs-SRCH_IL.0,13_IN1_KO14,20.htm?remoteWorkType=1&fromAge=3 Job Description: Together AI 2.7 Platform Engineer, Model ShapingNew Apply on employer site San Francisco, CA · $200K - $290K (Employer provided) Apply on employer site Your qualifications for this job Do you have any of these qualifications? Terraform Go Ansible Model training Show more About Model Shaping 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. About the Role 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. Responsibilities 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 Requirements 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 Stand-out experience 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 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 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. Compensation 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. 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. Show less Base pay range The minimum salary is $200K and the max salary is $290K. $200K – $290K/yr (Employer provided) $245K /yr Median San Francisco, CA If an employer includes a salary or salary range on their job, we display it as "Employer Provided". If a job has no salary data, Glassdoor displays a "Glassdoor Estimate" if available. To learn more about "Glassdoor Estimates," see our FAQ page. Related community posts See what other Platform Engineer, Model ShapingNew are saying Interview Tips 539K members Salary Negotiations 563K members Explore more Bowls Want your application to stand out? Starting conversations can lead to better insights than asking for referrals. Ask for advice Company overview Size 501 to 1000 Employees Founded 1974 Type Company - Private Industry Banking & Lending Sector Financial Services Revenue $100 to $500 million (USD) Together AI ratings 2.7 38 % Recommend to a friend 47 % Approve of CEO Henry Moser 81 Ratings Career Opportunities 2.7 Comp & Benefits 2.7 Culture & Values 2.5 Senior Management 2.4 Work/Life Balance 2.4 Together AI reviews by platform engineer Pros "Good people to work with" (in 34 reviews) "Successful business over many years, lots of good people, decent pay" (in 25 reviews) "Great benefits" (in 21 reviews) "good management" (in 18 reviews) "Quirky and enjoyable culture" (in 19 reviews) Cons "Some not so good people" (in 34 reviews) "Pay is also pretty rubbish and below the average in the industry." (in 25 reviews) "While pay and bonuses are generally good, wider benefits such as pension and other things are not so good and no choice." (in 21 reviews) "Let's talk about Management and Colleagues." (in 18 reviews) "Culture, tone from the top, autocratic." (in 19 reviews)