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Software Engineer (AI/ML Tools focus)

External
selinc logoSelinc · WA
Full-timeHybridToday
AzureCI/CDComputer VisionDockerGitHubKubernetes
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Responsibilities

  • In the course of this job, you will work with a small team with a highly variable task load and dynamic prioritization and responsibility. You will help maintain infrastructure deployed by this team while balancing research and new tool development.
  • Desirable traits
  • You may be an ideal fit for this position if several of the following describes you.
  • You have a passion for making AI/ML a net benefit for our organizations, our customers, and society.
  • You are flexible: you take external steering and direction well, but are also comfortable self-directing with a broad goal set, and able to pivot gracefully between the two modes.
  • You are eager to follow self-guided training, seek out learning opportunities, and stay abreast of changes in the AI/ML tool and technology landscape.
  • You have a commitment to quality and attention to detail, while still retaining the agility to deliver pragmatic temporary solutions as needs demand.
  • You are curious and interested in the underlying technology, and excited by the potential of AI/ML. You have a healthy skepticism for AI/ML and a practical understanding of where total automation may be unattainable with current tech.
  • You are excited by the problem space; you want to help empower hardware designers, software/firmware developers and product maintainers alike.
  • You want to help remove unnecessary or tedious human touch points where it serves to improve quality of outcomes and dignity of work.
  • You want to magnify the capabilities and efficiency of our experts to let them focus on areas where human expertise is indispensable.
  • Location:
  • #SEL25
  • Competitive pay. Superior benefits. Inspiring work.
  • People are at the core of our company and we hire employee-owners. We welcome you to learn more about how we support em

Benefits

Health insuranceVision insuranceFlexible schedule

Additional Information

This position's primary focus is to build, configure, apply, and maintain infrastructure and runtimes that will provide AI/ML (AI and Machine Learning) functionality for software developers inside SEL. This will include maintaining systems, deployments, and integrations (Ops work) as well as development and research tasks. During the course of your work, you will primarily focus on configuration of existing solutions, validation of working deployments, and occasional lightweight model training or fine-tuning for specific applications. You will develop integrations and the occasional novel application harness, but this position's research focus is on applications of AI/ML, not directly performing model development or research. Note: US Citizenship required Tech stack Technologies you will likely encounter in the first year of your job include, but are not limited to: Azure AI Foundry Apple/Nvidia on-premises using sglang, openwebui, llama.cpp, mlx_lm, ollama GitHub, Docker, Kubernetes Transformers, diffusers, natural language processing ecosystem LoRA and similar fine-tuning and customization toolchains Python, C/C++ Required and desirable skills The successful candidate will have most if not all of the following skills and experience, and an interest in progressing them further. Experienced with Python, pip/uv Familiarity with typescript, yarn/npm Familiarity with transformers, autoencoders, classifiers Basic Linux/Unix ops skills Additional skills and experience that are desirable include: Familiarity with CI/CD pipelines Familiarity with Azure/Azure Foundry Familiarity with computer vision models, diffusion models, classifiers, YOLO, SAM, etc. Familiarity with Kubernetes, Docker, containerd, etc. Familiarity with rust language and accompanying toolchains A strong candidate will have: Worked on medium to large sized codebase with PR-driven review workflow Maintained CI/CD pipelines Maintained hybrid ops framework for lambda/azure functions, scheduled tasks, REST or similar web services, etc. Familiarity with OIDC or SAML from developer and ops side


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