Staff Applied Scientist

Posted 10 Days Ago
Be an Early Applicant
Hiring Remotely in San Francisco De Las Llagas, CA, USA
In-Office or Remote
200K-225K Annually
Senior level
eCommerce • Fashion • Retail • Sales
Promoting the circular economy and empowering consignors & buyers to extend the life of luxury goods
The Role
The Staff Applied Scientist leads the development of machine learning solutions, collaborates with stakeholders, mentors team members, and contributes to intellectual property.
Summary Generated by Built In
About The RoleThe Staff Applied Scientist will set the technical direction of their team to build and deploy machine learning solutions. They will work closely with Product and Engineering partners in the development of the solution.

What You Get To Do Everyday
  • Lead the design, development and deployment of Machine Learning models to solve business problems.

  • Develop and maintain clean, efficient, and scalable code that meets industry standards.

  • Analyze large datasets to extract actionable insights and make informed decisions.

  • Employ state-of-the-art Machine Learning methodologies and frameworks to develop robust and scalable models.

  • Influence technical direction and take ownership of key components of systems and solutions, ensuring that they meet the needs of the business.

  • Collaborate with key stakeholders in the development of data-driven solutions and deployable products. 

  • Mentor and guide team members to help establish team domain expertise.

  • Contribute to the company’s intellectual property and technical leadership through patents and publications at top-tier conferences and journals. 

What You Bring To The Role

Minimum Requirements

  • 7+ years of industry experience in applied Machine Learning

  • Graduate Degree in CS/ML or a related field

  • 5+ years experience in building, deploying, and managing machine learning and deep learning models in production environments at scale

  • Deep understanding of ML best practices (A/B testing, training/serving pipelines, feature engineering etc), algorithms/techniques (gradient boosting, deep neural networks, optimization, regularization), and experiment design

  • Experience in at least two of these domains: natural language processing, computer vision, fraud detection and authentication.

  • Extensive experience in scientific libraries in Python (numpy, pandas) and Machine Learning tools and frameworks (Scikit-Learn, Tensorflow, Keras, PyTorch)

  • Strong data engineering skills and experience working with large scale datasets

  • Experience with big data tools (Apache Beam, Apache Kafka, Spark)

  • Experience with cloud technologies AWS, GCP or Azure

  • Fluency in Python, SQL
     

Preferred Requirements

  • Masters Degree or PhD preferred (CS, ML, AI or related field)

  • Background in applying ML techniques to solve real-world business problems in the retail sector.

  • Familiarity with MLOps tools and pipelines.

  • Impact-focused and passionate about delivering high-quality models.

  • Demonstrated leadership experience, with the ability to lead and inspire a team.

Compensation, Benefits, + Perks
  • Employee Stock Purchase Plan

  • 401K with Company Match

  • Medical, Dental & Vision Insurance

  • Paid Parental Leave

  • 9 Paid Company Holidays

  • Flexible Time Off (With Manager Approval)

  • Find out more about our Benefits here.

The expected salary range for this role is $200,000.00-$225,000.00. To determine starting pay we carefully consider a variety of factors, including primary work location and an evaluation of a candidate’s skills, experience, market demands, and internal parity. Additionally, salary is just one component of TRR’s total rewards package. Depending on role, employees may also be eligible for a bonus program, incentive pay and benefits.

The RealReal is the world’s largest online marketplace for authenticated, resale luxury goods, with 37 million members. With a rigorous authentication process overseen by experts, The RealReal provides a safe and reliable platform for consumers to buy and sell their luxury items. We have hundreds of in-house gemologists, horologists, and brand authenticators who inspect thousands of items each day. As a sustainable company, we give new life to pieces by thousands of brands across numerous categories—including women's and men's fashion, fine jewelry and watches, art, and home—in support of the circular economy. We make selling effortless with free virtual appointments, in-home pickup, drop-off, and direct shipping. We handle all of the work for consignors, including authenticating, using AI and machine learning to determine optimal pricing, photographing and listing their items, as well as shipping and customer service. 

The RealReal is committed to providing an equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or Veteran status. We will consider qualified applicants for a position regardless of arrest or conviction records. At TRR, People Come First. That’s why diversity and inclusion are vital to our priorities as an equal opportunity employer. You can read about our Diversity Equity and Inclusion program here.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The employee is regularly required to sit; use hands to finger, handle, or feel and talk or hear. The employee is occasionally required to stand; walk; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl; and taste or smell. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. 

Top Skills

Apache Beam
Apache Kafka
AWS
Azure
GCP
Keras
Machine Learning
Numpy
Pandas
Python
PyTorch
Scikit-Learn
Spark
SQL
TensorFlow
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The Company
HQ: San Francisco, CA
3,300 Employees
Year Founded: 2011

What We Do

The RealReal is the world’s largest online marketplace for authenticated luxury retail. With a rigorous authentication process overseen by experts, The RealReal provides a safe and reliable platform for consumers to buy and sell their luxury items. We have 150+ in-house gemologists, horologists and brand authenticators who inspect thousands of items each day.

Why Work With Us

We are looking for smart and talented people who are creative, enjoy working in a fast-paced environment, and want to be part of a team that is reinventing the digital marketplace as you know it!

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