Software Engineer (AI/ML Tools focus)

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

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.

You will thrive in a continual culture of research to help identify new technologies that improve the default quality and safety of our work as well as amplify the efforts of our developers. Much of your role will involve developing automation harnesses for applied AI/ML and marrying that automation to our SDLC toolchains (CI/CD, static analysis, DevOps tooling).

This will be iterative work in a changing ecosystem where the frontier and the obsolescence window move at a fast pace. A large part of this role will involve meeting with stakeholders and internal customers to identify needs, obtain agreement on prioritization, and help educate our internal customers on how they can succeed in the ecosystems you will help build.

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 focu