> Markdown version of [/jobs/ext/933714-principal-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/933714-principal-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).

---

# Principal Machine Learning Engineer

- **Company:** Ai In Bumble Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $345,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Airflow, Data Integration, Distributed Systems, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Pytorch, Delivery Pipeline, Large Language Models, Apache Spark, Build Management, Machine Learning Operations
- **Published:** June 9, 2026
- **Apply:** https://www.dice.com/job-detail/e7e7758a-96ce-4962-aab3-93e7dcc05434

## About the Role

* Typically requires 10-15 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills.>
 * Deep expertise in machine learning, with hands-on experience building and deploying large-scale systems in production environments>
 * Strong proficiency in Python and at least one major ML framework (e.g. PyTorch, TensorFlow), with experience in areas such as recommendation systems, ranking models, or NLP>
 * Expertise in prompting and fine-tuning Large Language Models (LLMs) and building production AI Agents>
 * Proven experience designing scalable data and ML pipelines using tools such as Spark, Airflow, or similar distributed systems>
 * Demonstrated ability to operate as a senior individual contributor, influencing technical strategy and decision-making without direct authority>
 * Experience partnering effectively across functions, collaborating with purpose and taking ownership of outcomes in complex organisational environments>
 * A track record of mentoring and uplifting others, role modelling Respect and Excellence while building inclusive, high-performing teams>
 * Strong AI fluency, with the ability to independently design, evaluate, and optimise ML systems, and guide others in the responsible and effective application of AI>, Will be determined based on factors such as the selected candidate's qualifications, relevant experience, skill set, and other job-related considerations.

## Description

* Define and lead the technical strategy for AI and Machine Learning systems that power recommendations, ranking, and personalization across Bumble products, delivering measurable improvements in user engagement and safety>
 * Design, develop, and deploy production-grade models using modern ML frameworks such as PyTorch , ensuring scalability and reliability in high-traffic environments>
 * Build and deploy production AI Agents using raw and fine-tuned foundational Large Language Models (LLMs), along with sub-agents, tools, and MCP integrations>
 * Architect end-to-end ML pipelines, integrating data processing (e.g. Spark, Airflow) with model training, evaluation, and deployment workflows>
 * Drive experimentation frameworks, including A/B testing and offline evaluation, to continuously improve model performance and product outcomes>
 * Partner cross-functionally with Product, Engineering, and Data leadership to translate business challenges into impactful ML solutions, collaborating with purpose and influencing at senior levels>
 * Mentor and elevate senior individual contributors, fostering a culture of Excellence, Curiosity, and continuous learning across the ML community>
 * Take ownership of complex, ambiguous problem spaces, seeing initiatives through from insight to impact while adapting approaches with an agile mindset>
 * Champion responsible AI practices, ensuring fairness, transparency, and user safety are embedded into all machine learning systems>


## Related Videos

- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [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)
- [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment)
- [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)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)