Remote Jobs at Baseten

Candidates must have a Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field. They should possess over 3 years of professional work experience in a fast-paced, high-growth environment. Experience in resolving critical user issues and building tools for smooth ML model deployment is essential. Familiarity with troubleshooting complex ML pipelines, including data preprocessing and model serving, is required. Knowledge of ML model optimization, incl…

Candidates must possess a Bachelor’s degree in Marketing, Business, or a related field, along with 5-7 years of experience in field marketing within the technology or SaaS industry. A proven track record in delivering and optimizing demand-generation programs to meet pipeline goals is essential. Candidates should have a strong understanding of sales processes and the buyer’s journey in enterprise environments, as well as proficiency with marketing tools such as Salesforce and Hubspot. Excellent …

Candidates should possess a Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field. A minimum of 1 year of professional work experience in a fast-paced, high-growth environment is required. Demonstrated experience with one or more general-purpose programming languages in a production-level environment is essential, with a strong preference for Python. Familiarity with AI/ML pipelines and the lifecycle of ML model development and deployment is nece…

Candidates must hold a Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field. They should have over 5 years of professional experience in software engineering, with at least 2 years in a technical leadership role. Proven experience in managing and mentoring engineering teams is required, along with expertise in programming languages such as Python, C++, or Go. An in-depth understanding of ML model performance optimization using libraries like PyTorch, TensorRT, and …

Candidates must have a Bachelor's degree or higher in Computer Science or a related field. They should possess 1-3 years of experience in software engineering or infrastructure, with proficient coding abilities in one or more popular programming or scripting languages, preferably Go. A working knowledge of Kubernetes and containerization is required, along with a basic understanding of machine learning concepts and model serving. Familiarity with distributed systems concepts and experience with …

Candidates should be motivated individuals with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team. A background in AI deployment or related engineering fields is preferred, along with strong problem-solving skills and the ability to tackle impactful challenges.

Candidates must have at least 3 years of experience in a Security Engineer or similar security-focused role, ideally in a fast-paced startup environment. A strong knowledge of cloud security, particularly AWS and GCP, as well as container security and infrastructure-as-code best practices is essential. Hands-on experience with security tooling such as SIEM, IDS/IPS, and vulnerability scanners is also required.

Candidates must have at least 9 months of experience in a sales or lead generation role within a high-tech or SaaS company. Strong relationship-building skills, both internally and externally, are essential. Candidates should be collaborative, coachable, and eager to improve their skills. The ability to handle rejection and remain persistent is required, along with excellent verbal and written communication skills. A basic understanding of a standard SaaS seller's technical stack, including CRM …

Candidates must have a Bachelor's degree or higher in Computer Science or a related field and at least 5 years of experience building production infrastructure systems. Expert-level proficiency in Go is required, with Python experience being a plus. Deep expertise with Kubernetes in production environments and extensive experience with major cloud providers such as AWS and GCP are essential. An advanced understanding of distributed systems concepts and performance tuning is necessary, along with…

Candidates should have at least 2 years of experience in technical pre-sales, solutions engineering, or customer-facing technical roles, preferably in an ML/AI company. Intermediate experience with Python and a basic understanding of AI/ML concepts, especially around model deployment and inference, are required. Familiarity with open-source ML models and common LLM tools and frameworks, such as LangChain and Hugging Face, is essential. Strong communication skills are necessary to explain technic…

Candidates should possess a Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field. A minimum of 3 years of professional work experience in a fast-paced, high-growth environment is required. Extensive experience with Kubernetes and infrastructure-as-code tools such as Terraform, CloudFormation, or Pulumi is necessary, along with familiarity with CI/CD tooling like GitHub Actions or Jenkins. Relevant OSS observability experience with tools like Pro…

Candidates must hold a Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field. They should have at least 3 years of professional work experience in a fast-paced, high-growth environment, along with experience in backend development using Python and Django. Familiarity with building data-intensive interfaces and tools for technical audiences is required, as well as the ability to establish standards and best practices for other developers and to ow…

Candidates must hold a Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field. Experience with one or more general-purpose programming languages, such as Python or C++, is required. Familiarity with LLM optimization techniques, including quantization and speculative decoding, is essential. Strong familiarity with ML libraries, particularly PyTorch, TensorRT, or TensorRT-LLM, is necessary. A demonstrated interest and experience in large language mo…

Candidates should possess strong-level proficiency in Go and/or Python, experience with Kubernetes/Docker tooling such as Helm and Docker, and experience managing and working with large monorepos. Bonus points are given for familiarity with tools like Bazel, Pants, Moon, Turborepo, and an advanced understanding of CI/CD concepts, along with a developer tool culture focused on best practices and experience developing open-source developer tools.

Candidates should possess a Bachelor’s degree in Computer Science, Engineering, or a related field, along with at least three years of experience in Machine Learning Engineering, specifically focusing on model training and fine-tuning. Experience with advanced fine-tuning frameworks like Axolotl, Unsloth, Transformers, TRL, and familiarity with parameter-efficient techniques such as LoRA and QLoRA is required.