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Tech Lead, Software Engineer, GenAI Fraud

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Scale AI

2mo ago

Applications are closed

  • Job
    Full-time
    Senior Level
  • Software Engineering
  • New York, +1

Requirements

  • At least 5 years of relevant experience is preferred
  • Experience in risk prevention, machine learning, or analytical work
  • Track record of shipping high-quality products and features at scale
  • Desire to work in a very fast-paced environment
  • Ability to turn business and product ideas into engineering solutions
  • Excellent problem-solving skills, and be able to work independently or as part of a team.
  • Excited to join a dynamic, hybrid team in either San Francisco or New York City

Responsibilities

  • Own large areas within our product
  • Build features end-to-end: front-end, back-end, system design, debugging and testing
  • Deliver experiments at a high velocity and level of quality to engage our customers
  • Work across the entire product lifecycle from conceptualization through production
  • Influence the culture, values, and processes of a growing engineering team
  • Inspire and mentor less experienced engineers
  • Collaborating with cross-functional teams to define, design, and ship new product features and experiences.

FAQs

What is the main mission of Scale AI?

The main mission of Scale AI is to accelerate the development of AI applications and to be the leading AI data foundry, helping to fuel advancements in AI, including generative AI, defense applications, and autonomous vehicles.

What is the role of the Fraud team at Scale AI?

The Fraud team at Scale AI works on preventing violations of the terms of service by protecting the platform against potential fraud, cheating, and abuse that may emerge in the Generative AI era. They operate at the intersection of machine learning, analytics, and security.

What responsibilities does the Tech Lead, Software Engineer, GenAI Fraud have?

The responsibilities include owning large areas within the product, building features end-to-end (including front-end, back-end, system design, debugging, and testing), delivering high-quality experiments, collaborating with cross-functional teams, and inspiring and mentoring less experienced engineers.

What qualifications are preferred for the Tech Lead position?

Preferred qualifications include at least 5 years of relevant experience, experience in risk prevention, machine learning, or analytical work, a track record of shipping high-quality products and features at scale, and excellent problem-solving skills.

Where is this job located?

This position can be located in either San Francisco or New York City as part of a dynamic hybrid team.

What is the salary range for this position?

The base salary range for this full-time position in the locations of San Francisco, New York, and Seattle is $188,000—$225,600 USD.

What benefits does Scale AI offer to its employees?

Benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and potentially additional benefits such as a commuter stipend.

Is Scale AI committed to equal employment opportunity?

Yes, Scale AI is committed to being an affirmative action employer and an inclusive and equal opportunity workplace, ensuring equal employment opportunity regardless of various factors such as race, gender, or disability status.

How does Scale AI handle personal data during the application process?

Scale AI collects, retains, and uses personal data for professional business purposes, including job notifications and compliance with applicable laws, and any information collected will be treated in accordance with their internal policies designed to protect personal data.

How can applicants request accommodations due to a disability?

Applicants needing assistance or reasonable accommodations during the application or recruiting process due to a physical or mental disability can contact Scale AI at accommodations@scale.com.

Scale AI

The Data Platform for AI: High quality training and validation data for AI applications.

Technology
Industry
201-500
Employees
2016
Founded Year

Mission & Purpose

At Scale, our mission is to accelerate the development of AI applications. We believe that to make the best models, you need the best data. The Scale Generative AI Platform leverages your enterprise data to customize powerful base generative models to safely unlock the value of AI. The Scale Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment. Scale is trusted by leading technology companies like Microsoft and Meta, enterprises like Fox and Accenture, Generative AI companies like Open AI and Cohere, U.S. Government Agencies like the U.S. Army and the U.S. Airforce, and Startups like Brex and OpenSea.