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 offers an exciting opportunity to work on cutting-edge AI challenges in travel, mobility, and insurance. As a Machine Learning Engineer, you'll be responsible for developing and deploying AI models that drive automation, improve decision-making, and create seamless customer experiences across both the Outdoorsy marketplace and Roamly's digital insurance platform.
You'll work with both structured and unstructured data, building scalable solutions that impact various aspects of the business including search optimization, pricing strategies, fraud detection, personalization, and customer support automation. The position requires expertise in Python and modern ML frameworks, along with experience in deploying models at scale.
The company offers a competitive compensation package including equity, comprehensive benefits, and a flexible work environment. This is an excellent opportunity for an experienced ML professional looking to make a significant impact in a profitable, fast-growing company that's revolutionizing the outdoor travel and insurance industry.
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
- Opportunity to contribute to a high-growth, mission-driven company
- Competitive salary and equity in one of the world's fastest-growing companies
- Comprehensive health and welfare benefits
- 401(k) match to help secure your future
- Flexible PTO to promote work-life balance
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