Staff Applied Scientist - Remote USA (*eligible states)

The RealReal; Bellflower (CA); Remote; USD 200,000 - 225,000; Full time

Job summary

Join an innovative firm as a Staff Applied Scientist, where you will lead the development of cutting-edge machine learning solutions. This role offers the opportunity to work closely with cross-functional teams, influencing the technical direction and contributing to impactful projects. You will develop and deploy scalable models, analyze complex datasets, and mentor junior team members. With a commitment to sustainability and excellence, this role is perfect for those passionate about leveraging technology to solve real-world business challenges. Embrace a rewarding career in a dynamic and supportive environment that values diversity and inclusion.

Benefits

Employee Stock Purchase Plan

401K with Company Match

Medical, Dental & Vision Insurance

Paid Parental Leave

9 Paid Company Holidays

Flexible Time Off

Qualifications

• 7+ years of experience in applied Machine Learning.
• Deep understanding of ML best practices and algorithms.
• Experience in building and deploying ML models at scale.

Responsibilities

• Lead the design and deployment of Machine Learning models.
• Analyze large datasets to extract actionable insights.
• Mentor team members and contribute to technical leadership.

Skills

Machine Learning

Deep Learning

Python

SQL

Data Engineering

Natural Language Processing

Computer Vision

Fraud Detection

Education

Graduate Degree in Computer Science or Machine Learning

Masters Degree or PhD in related field

Tools

Scikit-Learn

TensorFlow

Keras

PyTorch

Apache Kafka

Apache Beam

Spark

Job description

Staff Applied Scientist - Remote USA (*eligible states)

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Staff Applied Scientist - Remote USA (*eligible states)

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About The Role

The 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.

• States Not Eligible: AK, AR, DE, KS, MS, ND, SD, WY
  
  

About The Role

The 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.

• States Not Eligible: AK, AR, DE, KS, MS, ND, SD, WY
  
  

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: price estimation, personalization, recommender systems, natural language processing, computer vision, fraud detection and authentication marketing
• 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Retail Apparel and Fashion

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