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Forward Deployed Engineer - GenAI Quality

Scale AI is seeking a Forward Deployed Engineer to contribute to the advancement of AI applications, focusing on quality data solutions for leading AI innovators and government agencies.

Skills

  • Strong problem-solving skills
  • Ability to work independently and collaboratively
  • Strong coding abilities
  • Ability to communicate complex concepts effectively
  • Adaptability to generative AI changes

Responsibilities

  • Drive Impact by delivering critical data solutions
  • Interact with technical customers and understand their challenges
  • Design, build, and deploy features across the stack
  • Deliver high-quality experiments quickly
  • Play a key role in shaping engineering culture
  • Engage in diverse projects and influence product roadmap
  • Lead critical projects and accelerate career growth

Education

  • Relevant bachelor's degree or equivalent experience

Benefits

  • Comprehensive health, dental, and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
To read the complete job description, please click on the ‘Apply’ button

Average salary estimate

$190000 / YEARLY (est.)
min
max
$160000K
$220000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Forward Deployed Engineer - GenAI Quality, Scale AI

At Scale AI, we're on a mission to accelerate the development of AI applications, and we're searching for a Forward Deployed Engineer for our GenAI Quality team in San Francisco, California. If you're passionate about making a real impact in the AI space, this role is perfect for you. You'll be at the heart of building vital data quality infrastructure that directly supports the most advanced AI models, influencing how humanity interacts with technology. With us, you'll have the chance to dive into the world of LLM-based data evaluation, designing user-friendly interfaces while also managing back-end systems. Daily collaboration with our technical customers will allow you to understand their challenges and craft impactful solutions. The environment encourages rapid experimentation, where you can swiftly iterate on solutions that meet customer needs. This role is not just about the tasks; it's about strategic influence—shaping our engineering culture while you grow your leadership skills in a field that's rapidly evolving. If you thrive in fast-paced, dynamic settings and have a knack for turning ideas into engineering marvels, we would love to have you on board. Join our passionate team committed to innovation in AI data infrastructure, and help push the boundaries of what's possible in this exciting domain.

Frequently Asked Questions (FAQs) for Forward Deployed Engineer - GenAI Quality Role at Scale AI
What are the key responsibilities of a Forward Deployed Engineer at Scale AI?

As a Forward Deployed Engineer at Scale AI, you will engage in delivering critical data solutions directly contributing to the advancement of AI. You'll collaborate closely with technical customers, working to understand their unique challenges and devising impactful solutions. Furthermore, you'll engage in end-to-end development, designing, building, and deploying features across both front and back-end systems. Your role will also focus on leading projects to improve data quality and measuring its effectiveness, positioning you at the forefront of how quality data fuels AI innovation.

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What qualifications are required for the Forward Deployed Engineer position at Scale AI?

For the role of Forward Deployed Engineer at Scale AI, candidates should have a proven track record of delivering high-quality products at scale. Ideally, you should have at least two years of relevant experience, particularly in large-scale data processing and distributed systems. Strong problem-solving abilities, excellent coding skills, and the capacity to communicate complex technical ideas to various audiences are essential. Familiarity with machine learning concepts and experience with cloud-based infrastructure are also highly beneficial.

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How does Scale AI support career growth for Forward Deployed Engineers?

Scale AI is committed to career growth for Forward Deployed Engineers by offering a dynamic environment where you can lead critical projects and influence engineering culture. You'll have opportunities to engage with advanced AI researchers and shape the product roadmap. The role not only provides a chance to enhance your technical skills but also positions you for leadership responsibilities in a company that is defining the future of technology.

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What is the work environment like for a Forward Deployed Engineer at Scale AI?

The work environment at Scale AI for Forward Deployed Engineers is fast-paced, collaborative, and innovative. We prioritize continuous learning and value contributions that push the boundaries of AI technologies. You'll be part of a passionate team that fosters an inclusive culture, encouraging you to bring your authentic self to work every day. This team-oriented atmosphere allows for dynamic exchanges of ideas, rapid experimentation, and the freedom to explore cutting-edge technologies.

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What is the compensation range for Forward Deployed Engineers at Scale AI?

At Scale AI, the compensation package for Forward Deployed Engineers ranges from $160,000 to $220,000 USD, depending on various factors such as work location, skills, experience, and interview performance. In addition to a competitive base salary, eligible roles may also include equity-based compensation. Our benefits package encompasses comprehensive health coverage, retirement plans, learning stipends, and generous PTO, ensuring a well-rounded employee experience.

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Common Interview Questions for Forward Deployed Engineer - GenAI Quality
Can you explain your experience with large-scale data processing?

When answering this question, highlight specific projects where you worked with large datasets. Discuss the tools and technologies you used, the challenges you faced, and how you overcame them. Tailor your response to showcase your technical skills and your ability to communicate complex information effectively.

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What approaches do you take to ensure data quality?

Discuss your strategies for measuring and improving data quality. Provide examples of metrics you've used, processes you've established, or technologies like automated testing tools that have contributed to high-quality data outcomes. Make sure to emphasize any collaboration with team members or stakeholders in maintaining data integrity.

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Describe a time you had to rapidly iterate on a solution.

When preparing your answer, think of a project where you had tight deadlines and needed to adapt quickly based on feedback. Discuss how you gathered input, made decisions to pivot, and the results of your rapid changes. Highlight your agility and problem-solving skills, as this is crucial for a Forward Deployed Engineer.

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How do you approach collaboration with technical customers?

Explain your method of gathering requirements from technical customers. Emphasize using active listening skills to truly understand their challenges, and discuss how you translate those needs into technical solutions. Providing examples of successful customer interactions can greatly strengthen your answer.

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What technologies are you most comfortable using for front-end and back-end development?

Be prepared to discuss your experience with specific programming languages and frameworks. Mention any projects that exemplify your skills in these areas, explaining your role and contributions. Tailor your response to highlight the technologies that Scale AI prioritizes, demonstrating your fit for the team's needs.

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Can you discuss a time you improved a process for data evaluation?

When answering this question, reference specific initiatives you've led or participated in that streamlined data evaluation processes. Talk about the objectives, your role, and the measurable improvements achieved, showcasing both your analytical capabilities and your impact on the project.

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How do you keep yourself updated with AI and machine learning trends?

Mention the resources you follow, such as industry blogs, podcasts, or conferences related to AI and machine learning. Providing examples of how you’ve applied new knowledge or trends to your work will demonstrate your commitment to continuous learning in the rapidly evolving field.

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What role do you see for yourself in the future of AI?

Your answer should reflect your long-term career aspirations within the AI field. Discuss the areas you are passionate about and how you aim to contribute to AI's evolution. This is a chance to highlight your ambition and understanding of the industry's trajectory.

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How do you manage project deadlines and expectations?

Explain your approach to time management in project settings, including how you prioritize tasks and communicate timelines with stakeholders. Provide real-world examples of balancing multiple deadlines and keeping your team informed, showcasing your organizational skills.

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What excites you about working at Scale AI?

Your response should reflect genuine enthusiasm for Scale AI's mission and values. Discuss elements like their innovative approach to AI, the collaborative team culture, or the chance to work on impactful projects. Tailoring your answer to reflect company values will demonstrate your alignment with Scale AI's goals.

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Scale accelerates AI development by providing the data infrastructure for AI. Its data-centric platform manages the entire ML lifecycle, from data annotation and curation to model testing and evaluation, enabling any organization - from the world'...

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SALARY RANGE
$160,000/yr - $220,000/yr
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 2, 2025

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