Senior Machine Learning Scientist
QlooSalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Real Estate, BiotechnologyIndustries
Requirements
Candidates must possess strong software engineering and coding skills in Python, with experience contributing to production codebases. A minimum of 5 years of experience developing and deploying ML models end-to-end, including research, prototyping, and production implementation, is required. Hands-on experience with deep learning architectures such as ConvNets or Transformers is essential. An advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field, along with a solid foundation in statistics and experimental design, is necessary. Strong communication and collaboration skills are needed to work with cross-functional stakeholders and clearly articulate technical ideas. Familiarity with Pyspark, distributed data processing, search/recommendation systems, personalization, large language models (LLMs), or vision-language models (VLMs) is considered a plus.
Responsibilities
The Research Scientist will design and deploy architectural improvements for deep neural network (DNN)-based home valuation models. They will build interpretable ML models to explain pricing decisions and incorporate unstructured data, such as images, videos, or text, into forecasting and valuation pipelines using advanced AI models. Responsibilities also include collaborating with Engineering and Ops to enhance human-in-the-loop pricing systems, improving feature engineering and model training pipelines for production systems, and rethinking risk and optimization models using real-world data and domain insight.
Skills
Python
Machine Learning
Deep Learning
ConvNets
Transformers
Statistics
Experimental Design
Software Engineering
Pyspark
Distributed Data Processing
Large Language Models (LLMs)
Vision-Language Models (VLMs)
Data Modeling
Forecasting
Opendoor
Technology-driven platform for buying and selling homes
About Opendoor
Opendoor simplifies the buying and selling of homes in the U.S. residential real estate market. For sellers, it offers a quick process where they can request a cash offer by providing property details. Using proprietary algorithms and market data, Opendoor generates a competitive offer, allowing sellers to avoid the traditional listing and negotiation hassles. For buyers, Opendoor provides a platform to browse homes and schedule self-guided tours, with the option to use their own agents. The company earns revenue through service fees from sellers and potential appreciation from homes it buys and resells. Opendoor's goal is to make real estate transactions more efficient and less stressful, while expanding its market presence and ensuring client safety.
San Francisco, CaliforniaHeadquarters
2014Year Founded
$2,023.2MTotal Funding
IPOCompany Stage
Data & Analytics, Real EstateIndustries
1,001-5,000Employees
Benefits
Happier workdays - Add a little fun to your workday with Pendo board game night, team karaoke, ping pong, or enjoy a local brew on our rooftop deck.
Health and wellness benefits - Generous health and wellness plans designed to meet the needs of you and your family, including medical, dental, and vision benefits.
Paid parental leave - Up to 16 weeks of paid parental leave, and a flexible schedule upon your return to help you make the most of those special moments.
Learning and development - In-house management development classes, guest speaker lunch and learns, and select conferences help keep talent sharp.
Flexible work hours and PTO - Enjoy the benefits of a flexible time off policy, flexible work hours, and paid parental leave.
Global offices - Work across the globe in the cities that we love like Raleigh, San Francisco, New York, Herzliya, Tokyo, London and Sheffield.
Risks
Increased competition from tech-driven traditional real estate firms may erode market share.
Recent layoffs could impact operational efficiency and service quality.
Strategic shifts from new executive appointments may not align with market demands.
Differentiation
Opendoor offers a seamless, quick, and transparent home buying and selling experience.
The company uses proprietary algorithms to provide competitive cash offers to sellers.
Opendoor's user-friendly platform allows self-guided home tours and online purchase completion.
Upsides
Growing consumer preference for digital transactions aligns with Opendoor's online platform.
AI-driven predictive analytics can enhance Opendoor's pricing algorithms for competitive offers.
Remote work trends expand Opendoor's market opportunities in suburban and rural areas.
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