> Markdown version of [/jobs/ext/2212534-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2212534-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Machine Learning Engineer

- **Company:** HAYSTACK MOBILE TECHNOLOGIES, LLC
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Computer Vision, Continuous Integration, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Generative AI, Low Latency, Data Analytics, Machine Learning Operations
- **Published:** August 24, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/n4a2cxvcrx

## About the Role

* Extensive lead-level engineering experience delivering data-driven ML systems.
 * Working knowledge of modern ML techniques, including Generative AI.
 * Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch, TensorFlow).
 * End-to-end MLOps experience, including CI/CD for ML, experiment tracking, and model registries.
 * Proven technical leadership experience, including mentoring Data Scientists.
 * Adaptability and ability to support teams in fast-changing environments.

## Description

* Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science.
 * Generate actionable insights for player performance, contextual statistics, and injury risk.
 * Integrate model-driven insights into personalisation engines, tailoring recommendations.
 * Define advanced experimental designs, lead A/B testing, and establish robust MLOps practices.
 * Design, architect, and operate low latency, highly reliable cloud-based AI systems for live sports scenarios.
 * Influence roadmaps, architecture, and platform evolution for production ML systems.


## Related Videos

- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning)
- [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale)
- [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)