Machine Learning Engineer Salary at Cerebras Systems BETA

ProRank is a boutique search firm and we are hiring for a client in Cupertino, CA. No C2C or subcontracting will be considered, thank you. Education Level: Bachelor’s Degree Relocation Assistance: No Visa Sponsorship Eligibility: No Job Description: Complete Hands on Experience in Python programming, along with experience with popular AI/ML frameworks such as Tensorflow, Pytorch, scikit-learn, Langchain and llamaindex. Strong background in Machine learning models building and implementation. Hands on experience in developing AI/ML/GenAI solutions using AWS services such as Sagemaker. Experience with search algorithms , indexing techniques, summarization and retrieval models for effective information retrieval tasks. Hands on Experience with RAG architecture and its applications in natural language processing tasks. Good Exposure to Agentic / Multi agent framework. Hands on Experience in End to End development of machine learning and deep learning techniques, like predictive modeling, a

ML Engineer | Hybrid – San Francisco or Los Angeles, CA **DUE TO FEDERAL REGULATIONS, CANDIDATES MUST BE US CITIZENS** Berkley Hunt has partnered with an innovative, VC-backed technology company focused on revolutionizing manufacturing engineering through cutting-edge AI solutions. As the demand for intelligent automation grows in manufacturing, they are addressing the complex challenges of integrating AI into real-world systems, from large language models for classification to optimizing cloud infrastructure for production deployment. To support this mission, they are looking for a product-focused AI Engineer to design, build, and deploy high-impact AI features that transform the way engineers work. About the Role: As an ML Engineer, you will work closely with cross-functional teams to shape the AI features that power the platform. You will have ownership over developing and deploying large language models (LLMs), collaborating with engineers to integrate AI capabilities into the plat

Machine Learning Software Engineer (Platform Engineer) We’re hiring a Member of Technical Staff, Platform Engineer to help build the core backend systems that power enterprise-scale ML products. This is a hands-on role for engineers who enjoy working close to the model stack—bridging the gap between infrastructure and applied machine learning. We’re a small team focused on shipping production-grade systems that integrate deeply with large language models. The work is fast, pragmatic, and deeply collaborative. Engineers here aren’t just wiring things together—they’re helping shape how AI gets delivered and scaled in real-world environments. We value clarity, ownership, and tight feedback loops. As a Member of Technical Staff, Platform Engineer, you’ll be responsible for building and maintaining the backend services that tie our models to enterprise applications. You’ll work with Python, FastAPI, PyTorch, and a modern infrastructure stack to build APIs, inference pipelines, and orchestra

ML Engineer | Hybrid – San Francisco or Los Angeles, CA **DUE TO FEDERAL REGULATIONS, CANDIDATES MUST BE US CITIZENS** Berkley Hunt has partnered with an innovative, VC-backed technology company focused on revolutionizing manufacturing engineering through cutting-edge AI solutions. As the demand for intelligent automation grows in manufacturing, they are addressing the complex challenges of integrating AI into real-world systems, from large language models for classification to optimizing cloud infrastructure for production deployment. To support this mission, they are looking for a product-focused AI Engineer to design, build, and deploy high-impact AI features that transform the way engineers work. About the Role: As an ML Engineer, you will work closely with cross-functional teams to shape the AI features that power the platform. You will have ownership over developing and deploying large language models (LLMs), collaborating with engineers to integrate AI capabilities into the plat

Machine Learning Engineer We’re hiring an Machine Learning Engineer to help build and scale the infrastructure behind a growing open AI platform. This role blends machine learning with core software engineering to deliver the systems that power model development, training, and deployment at scale. We’re a small, mission-driven team working at the intersection of machine learning research and infrastructure. The platform you’ll help maintain supports thousands of users worldwide, many of whom are contributing directly to open-source AI research and development. You’ll be building tools, systems, and pipelines that support cutting-edge ML projects and real-world applications. As a Machine Learning Engineer, your responsibilities will span training infrastructure, performance optimization, and cloud-based deployment systems. You’ll work closely with engineers and researchers to ensure the platform meets both research and production needs. Expect to contribute to core infrastructure, open-

ML Engineer | Hybrid – San Francisco or Los Angeles, CA **DUE TO FEDERAL REGULATIONS, CANDIDATES MUST BE US CITIZENS** Berkley Hunt has partnered with an innovative, VC-backed technology company focused on revolutionizing manufacturing engineering through cutting-edge AI solutions. As the demand for intelligent automation grows in manufacturing, they are addressing the complex challenges of integrating AI into real-world systems, from large language models for classification to optimizing cloud infrastructure for production deployment. To support this mission, they are looking for a product-focused AI Engineer to design, build, and deploy high-impact AI features that transform the way engineers work. About the Role: As an ML Engineer, you will work closely with cross-functional teams to shape the AI features that power the platform. You will have ownership over developing and deploying large language models (LLMs), collaborating with engineers to integrate AI capabilities into the plat

ML Engineer | Hybrid – San Francisco or Los Angeles, CA **DUE TO FEDERAL REGULATIONS, CANDIDATES MUST BE US CITIZENS** Berkley Hunt has partnered with an innovative, VC-backed technology company focused on revolutionizing manufacturing engineering through cutting-edge AI solutions. As the demand for intelligent automation grows in manufacturing, they are addressing the complex challenges of integrating AI into real-world systems, from large language models for classification to optimizing cloud infrastructure for production deployment. To support this mission, they are looking for a product-focused AI Engineer to design, build, and deploy high-impact AI features that transform the way engineers work. About the Role: As an ML Engineer, you will work closely with cross-functional teams to shape the AI features that power the platform. You will have ownership over developing and deploying large language models (LLMs), collaborating with engineers to integrate AI capabilities into the plat

ML Engineer | Hybrid – San Francisco or Los Angeles, CA **DUE TO FEDERAL REGULATIONS, CANDIDATES MUST BE US CITIZENS** Berkley Hunt has partnered with an innovative, VC-backed technology company focused on revolutionizing manufacturing engineering through cutting-edge AI solutions. As the demand for intelligent automation grows in manufacturing, they are addressing the complex challenges of integrating AI into real-world systems, from large language models for classification to optimizing cloud infrastructure for production deployment. To support this mission, they are looking for a product-focused AI Engineer to design, build, and deploy high-impact AI features that transform the way engineers work. About the Role: As an ML Engineer, you will work closely with cross-functional teams to shape the AI features that power the platform. You will have ownership over developing and deploying large language models (LLMs), collaborating with engineers to integrate AI capabilities into the plat