Startups · AI

Applied Machine Learning Engineer

Elorian AI · Palo Alto · Remote

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About Elorian AI

Backed by E14 Fund.

About the role

As our first Applied, User-Facing Member of Technical Staff, you will build the engineering bridge between our core multimodal research and real-world production deployments. This is an engineering-first, high-impact role where you will design and implement reference architectures, production-grade integration frameworks, developer SDKs, evaluation harnesses, and bespoke end-to-end applications powered by Glimpse. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Strong Core Engineering: 5+ years of experience building and shipping high-performance, production software in Python (and ideally TypeScript or Go/Rust). You write clean, maintainable code and can speak deeply to your architectural decisions
  • Hands-on LLM/Multimodal Application Engineering: Experience building complex systems beyond basic API calls—such as agentic workflows, structured tool-use frameworks, model evaluation pipelines, or orchestration layers for vision-language models
  • Model Understanding & Evaluation: Hands-on experience evaluating, fine-tuning, or benchmarking ML models. You can systematically differentiate between model failure modes, pipeline errors, and data-quality issues
  • Full-Lifecycle Ownership: A builder mindset with a bias for shipping quickly. Experience as a founding engineer, startup core contributor, or forward-deployed engineer is highly valued
  • Systems & Data Architecture: Familiarity with modern cloud architecture, API design, vector/multimodal indexing, streaming protocols, and handling high-volume image/video data pipelines under tight latency and cost constraints
  • Clear Technical Communication: Ability to communicate complex architectural tradeoffs clearly to both internal research teams and external engineering leaders
More about this role

We are a well-funded, early-stage AI research and product lab focused on building the next generation of frontier multimodal AI models. Founded by former DeepMind researchers—including Andrew Dai, previously an engineering leader on Gemini—our mission is to push the frontier of visual and multimodal intelligence. Our first model, Glimpse, launched publicly in October 2026.

Our team currently consists of 25 world-class scientists and engineers. We raised a $55M seed round led by Altimeter Capital, Menlo Ventures, Striker VC, and NVIDIA. We are tackling foundational problems in artificial intelligence and translating cutting-edge multimodal research into scalable, real-world systems.

As our first Applied, User-Facing Member of Technical Staff, you will build the engineering bridge between our core multimodal research and real-world production deployments. This is an engineering-first, high-impact role where you will design and implement reference architectures, production-grade integration frameworks, developer SDKs, evaluation harnesses, and bespoke end-to-end applications powered by Glimpse.

You will sit at the intersection of product engineering, model evaluation, and customer...

Read the full posting on Elorian AI's site ↗

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