Senior Machine Learning Engineer, Price Modeling

🕒 August 5

🇺🇸 United States – Remote

💵 $196k - $227k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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Logo of Airbnb

Airbnb

5001 - 10000 employees

Founded 2007

✈️ Travel

📦 Logistics

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

Travel • Logistics • eCommerce

Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.

📋 Description

• Develop and refine machine learning models for pricing recommendations, particularly reinforcement learning models • Plan and prioritize projects so team efforts align with Airbnb’s strategic goals • Collaborate with data scientists and product managers to understand requirements and desired outcomes • Develop, test, and refine machine learning models • Analyze model performance and make necessary adjustments • Present findings and progress updates to team members and stakeholders • Work with product engineers and designers to integrate models into user-friendly tools for hosts

🎯 Requirements

• 5+ years of experience in machine learning engineering • Proven experience developing and implementing machine learning models, preferably reinforcement learning models • Strong knowledge of Python or other relevant programming languages • Familiarity with data analysis and visualization tools • Excellent problem-solving skills and attention to detail • Ability to work effectively in a team and communicate complex ideas clearly • Must be authorized to work in the specified location • Occasional travel may be required • Experience in the hospitality industry or with pricing models would be a plus • Experience with Airbnb’s platform and tools would be beneficial

🏖️ Benefits

• Eligible for bonus • Equity eligibility • Benefits • Employee Travel Credits • Remote work eligibility • Occasional attendance at offsites • Disability-inclusive application and interview process • Reasonable accommodation for candidates with disabilities

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