Forward deployed engineer jobs that mention Fine-tuning

Fine-tuning shows up in the posting text of these roles. It is extracted from prose the employer wrote, not from a structured field, so treat it as a strong hint about the work rather than a stated requirement — the row badges show the requirements that are stated (clearance, work authorization, customer site, travel).

Last refreshed 2026-09-29 · 22 roles · 11 companies

  • 22 roles tracked
  • 11 companies
  • 5 remote-friendly
  • 3 with disclosed pay

Extracted automatically from public job postings. Always verify details on the original posting before applying.

Forward Deployed Engineer

Stability AI United States FDE Onsite

Builds prototypes and production-ready solutions that integrate generative AI with customer workflows and systems.

PythonPyTorchFineTuningGenerative AIMultimodal systemsComputer visionGraphicsCreative technology

    Machine Learning Research Scientist, Evaluations

    Scale AI San Francisco, CA; Seattle, WA; New York, NY Applied AI Onsite

    Analyze model behavior, design and build benchmarks, and diagnose failure modes in large language models.

    FineTuningAgentsdeep learningreinforcement learninglarge-scale model fine-tuningRLHFreward modelingLLM evaluation

      Agentic AI Engineer

      Elastic United States Applied AI Onsite

      Design and implement agentic workflows, develop and fine-tune LLMs, and integrate them with internal APIs and third-party tools.

      RAGTerraformAWSAzureGCPAnthropic APIPrompt EngineeringFineTuning

        Forward Deployed Engineer (Inference & Post-Training)

        Together AI San Francisco FDE Onsite

        Partners with production AI teams to optimize inference and post-training pipelines, ensuring successful platform adoption and customer success.

        PythonFineTuninginference engineTensorRT-LLMSGLangvLLMopen-source LLM deploymentpost-training workflows

        $270,000 – $300,000 / yr 2026-05-07 Original posting ↗

          Forward Deployed Research Scientist

          Labelbox San Francisco Bay Area FDE Onsite

          Work on multiple client engagements simultaneously, fine-tune open-weight models, and collaborate with research teams.

          FineTuningAIdata labelingworkflow automationquality control systemsdata-centric approachesAI developmentresearch science

            Applied AI Engineer

            Everpure Remote, United States FDE Remote

            Lead technical discovery and advisory sessions with enterprise customers and partners on AI strategy and implementation.

            PyTorchKubernetesFineTuningGPU clusters (NVIDIA/AMD)XGBoost

              Senior Forward Deployed Engineer (AI Agent)

              Cresta Australia (Remote) FDE Remote

              Develop, configure, deploy, and optimize AI agents using Cresta's AI platform and tools, and integrate them with external systems.

              PythonGoGCPFineTuningAgentsAI Agent systemsLarge Language Models (LLMs)APIs

                Solutions Architect

                Typeface Remote FDE Remote

                Designs and delivers technical architectures for enterprise customers, integrating AI-driven applications and workflows.

                OpenAI APIPrompt EngineeringFineTuningAgentsGenAIfull-stack engineeringGoogle WorkspaceSalesforce

                $160,000 – $210,000 / yr 2025-11-21 Original posting ↗

                  Senior ML Engineer

                  Typeface Palo Alto, CA Applied AI Hybrid

                  Builds machine learning models and systems for generating personalized content, collaborating with designers and product managers.

                  PythonAWSGCPFineTuningC/C++AzureMLGCP VertexAWS Sagemaker

                  $188,000 – $200,000 / yr 2025-08-19 Original posting ↗

                    Machine Learning Research Scientist, Post-Training

                    Scale AI San Francisco, CA; Seattle, WA; New York, NY Applied AI Onsite

                    Develop novel post-training techniques for large-scale generative models, analyze model behavior, and publish research findings.

                    FineTuningEvalsDeep learningReinforcement learningLarge-scale model fine-tuningRLHFPreference modelingInstruction tuning

                      Solutions Architect

                      Together AI San Francisco FDE Onsite

                      Work with customers and prospects to create business value through Generative AI applications, and deliver technical solutions to meet their needs.

                      PythonJavaScriptKubernetesDockerTerraformFineTuningGenerative AIOSS models

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                        Sources: company hiring systems (Greenhouse, Lever, SmartRecruiters) plus public job APIs.

                        • This page is generated from the same job records as the job tracker; every row links to the original posting on the employer's own hiring system.
                        • Extracted automatically from public job postings. Always verify details on the original posting before applying.
                        • You apply on the company site — we never collect applications.
                        • There is deliberately no "on-site" aggregation here: for a large share of the postings, on-site would be our inference from a non-empty location field, not something the employer stated.

                        Hard requirements to check first — clearance, work authorization, visa sponsorship, travel and customer-site requirements are extracted from the posting text, so you can filter them out before spending time on an application.

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