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# Software Engineer, Machine Learning - USA | Remote

- **Company:** TRENT HOEK OUTDOORS LLC
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $153,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Software Code Optimization, Continuous Integration, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Software Engineering, AI Infrastructure, Pytorch, Retrieval-Augmented Generation, Generative AI, Spark Mllib, Scikit Learn, Xgboost, Figma, Machine Learning Operations, Data Pipelines, Software Library, Programming Languages
- **Published:** November 5, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pwobmt1wwy

## About the Role

* 5+ years of industry experience in software engineering, including at least 3 years focused on applied machine learning or AI.
 * Strong experience with end-to-end ML model development, including training, evaluation, deployment, and monitoring.
 * Proficiency in Python and familiarity with machine learning libraries such as PyTorch, TensorFlow, Scikit-learn, Spark MLlib, or XGBoost.
 * Experience designing and building scalable data and annotation pipelines, along with evaluation systems for AI model quality.
 * Experience mentoring or leading others and contributing to a culture of technical excellence and innovation., * Familiarity with search relevance, ranking, natural language processing (NLP), or RAG systems.
 * Experience with AI infrastructure and MLOps, including observability, CI/CD, and automation for ML workflows.
 * Experience working on creative or design-focused machine learning applications.
 * Knowledge of additional programming languages such as C++ or Go.
 * A product mindset and the ability to connect technical work with user outcomes and business impact.
 * Strong collaboration and communication skills when working across engineering, product, and research teams.

## Description

* Design, build, and productionize machine learning models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features.
 * Build and maintain scalable data pipelines for collecting high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows.
 * Collaborate with AI researchers to improve datasets, evaluation metrics, and model architectures.
 * Work with product engineers to define and deliver impactful AI features across Figma's platform.
 * Partner with infrastructure engineers to develop and optimize systems for model training, inference, monitoring, and deployment.
 * Explore emerging technical possibilities and contribute to Figma's long-term AI vision.