Machine Learning Engineer
Description For Machine Learning Engineer
Outdoorsy Group, the leading outdoor travel and digital insurance platform, is seeking a Machine Learning Engineer to join their team. With $3B in gross transactions and ambitious growth plans, they're investing heavily in AI to enhance their marketplace and operations.
The role focuses on developing and deploying AI models that drive automation, improve decision-making, and create seamless customer experiences. As a Machine Learning Engineer, you'll be instrumental in shaping the AI foundation of Outdoorsy's marketplace and Roamly's digital insurance platform.
The position requires 5+ years of experience in machine learning or related fields, with strong expertise in Python and modern ML frameworks. You'll work on exciting challenges including search optimization, pricing models, fraud detection, and personalization systems. The role offers a unique opportunity to apply AI/ML in a fast-growing, profitable marketplace and insurtech business.
Working in a hybrid environment from Austin, TX, you'll collaborate with cross-functional teams to integrate AI solutions into production systems. The company offers competitive compensation ($165,000 - $185,000/year) plus equity, comprehensive benefits including 401(k) match, and flexible PTO.
This is an excellent opportunity for an experienced ML engineer looking to make a significant impact in the travel and insurtech space. You'll be working with large datasets, implementing cutting-edge AI technologies, and helping scale a platform that's already processing billions in transactions. The role combines technical challenges with business impact, offering both professional growth and the excitement of working in a high-growth environment.
Responsibilities For Machine Learning Engineer
- Design, develop, and deploy machine learning models to enhance search, pricing, fraud detection, personalization, and customer support automation
- Build scalable data pipelines and infrastructure to support AI applications
- Work with structured and unstructured data to develop predictive and generative AI models
- Collaborate with product managers, engineers, and business teams to integrate AI solutions into production systems
- Continuously optimize models for accuracy, speed, and efficiency
- Stay current with the latest advancements in AI/ML and apply best practices to our business challenges
Requirements For Machine Learning Engineer
- 5+ years of experience in machine learning, data science, or a related field
- Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks
- Experience building, training, and deploying ML models at scale
- Strong understanding of data engineering, feature engineering, and MLOps
- Experience working with large datasets, cloud platforms (AWS, GCP, Azure), and databases
- Familiarity with LLMs, recommendation systems, or predictive analytics is a plus
Benefits For Machine Learning Engineer
- Competitive salary and equity
- Comprehensive health and welfare benefits
- 401(k) match
- Flexible PTO
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