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Staff Engineer, Applied ML

Summary by AIEngineer.careers

Staff Engineer, Applied ML is a Machine Learning Engineer role (full-time). with Molecula. in AUSTIN, US. Imported listing (source: jobs.capitalfactory.com). Apply on the employer's site (jobs.capitalfactory.com).

Imported listing (source: jobs.capitalfactory.com) · Apply on jobs.capitalfactory.com

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AUSTIN · US
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Full-time
STAFF
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The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

Imported job description

Sourced from jobs.capitalfactory.com

Circuit, Molecula's AI execution layer for the physical economy, is hiring a Staff Engineer, Applied ML to join its Product Engineering team. You will build production ML capabilities—primarily LLM- and agent-driven—that turn industrial expertise into reliable, judgment-heavy workflows. The role is hands-on and customer-facing, partnering with Forward Deployed Engineers and design customers to generalize solutions across the product. Based in Austin, TX, onsite 3 days per week.

Responsibilities

  • Work end to end with FDEs and design customers to build solutions on top of Circuit
  • Generalize and package customer-specific solutions so FDEs can deploy them across accounts
  • Improve underlying models, agent harnesses, and evaluation methodologies
  • Debug production ML pipelines and retrieval systems, including edge cases and failure modes
  • Build and maintain evaluation systems with datasets, scoring approaches, and regression testing

Requirements

  • Strong software engineering background with a track record of shipping production systems end to end
  • Deep experience with data structures and data modeling across relational and graph databases
  • Hands-on experience building with LLMs, RAG systems, and agent harnesses
  • Experience working directly with customers or field teams and generalizing solutions
  • Proficiency in Python and Go across a multi-service architecture
  • Daily, fluent use of AI coding tools

Nice to Have

  • Vision and multimodal models on technical documents (PDFs, CAD)
  • Construction, civil engineering, or industrial domain experience
  • Open-source models (Qwen, DeepSeek) served with vLLM or KServe
  • Hands-on PyTorch for training and fine-tuning

Benefits

Equity / stock optionsflexible ptoemployer paid benefits

Tech Stack

Agent HarnessesAI ObservabilityEmbeddingsFine-tuningGoKServeLLMsPythonPyTorchRAGVision-Language ModelsvLLM
Molecula

Molecula

Austin · US · 30+ employees

Molecula (formerly known as Pilosa, now operating as FeatureBase) is a technology company providing AI-driven database solutions and automation platforms within the data management and artificial intelligence sectors. Founded in 2017 and headquartered in Austin, Texas, the company was acquired by Circuit in July 2024. Its core product, FeatureBase, is a distributed database designed for low-latency processing of dense vector, analytical, and single-record workloads.

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