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Forward Deployed Engineer, Agent Oversight

Scale is seeking a Forward Deployed Engineer for its Oversight team, focusing on safe and effective AI agent management. This role involves both engineering and customer-facing tasks in a fast-paced environment.

Skills

  • Strong problem-solving skills
  • Proficient in coding
  • Ability to communicate complex concepts
  • Adaptability in dynamic environments

Responsibilities

  • Drive the technical integration of Oversight features into diverse customer environments.
  • Build robust interfaces, dashboards, and validation tools.
  • Design, develop, and deploy production-grade code.
  • Collaborate with senior engineers and product managers.
  • Engage with customers to understand deployment challenges.

Education

  • Bachelor's degree in Computer Science or a related field
  • Relevant work experience preferred

Benefits

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

Average salary estimate

$171000 / YEARLY (est.)
min
max
$152000K
$190000K

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, Agent Oversight , Scale AI

As a Forward Deployed Engineer at Scale, you will find yourself at the intersection of cutting-edge AI technology and real-world application. Working from vibrant cities like San Francisco or New York, you'll play a pivotal role in transforming how autonomous systems interact with humans. Our AI agents are designed for independent decision-making, pushing the boundaries of what's possible in automation. However, with this level of autonomy comes the necessity for effective management and oversight to ensure they align with human values and safety protocols. The Oversight team, where you'll be joining, is on a mission to build an innovative infrastructure that provides real-time monitoring and control over AI agents. You'll collaborate with a dedicated group of engineers and researchers, tackling the challenges of deploying and managing these complex systems across diverse customer environments. Your responsibilities will include leading technical integrations, developing user-friendly tools and APIs, and shipping production-grade code that reflects user feedback. With a strong emphasis on collaboration, you’ll partner closely with internal and external teams to ensure the success of our AI Oversight capabilities. This is an exciting opportunity for anyone passionate about AI and eager to drive impactful change in a high-priority project that has real-world implications. Come join us and help define a future where AI and humans coexist efficiently and safely!

Frequently Asked Questions (FAQs) for Forward Deployed Engineer, Agent Oversight Role at Scale AI
What responsibilities does a Forward Deployed Engineer at Scale have?

As a Forward Deployed Engineer at Scale, you are responsible for leading the technical integration of AI Oversight features into different customer environments. This involves adapting to varying tech stacks and overcoming infrastructure hurdles. You'll also develop tools and APIs, ship production-grade code, and collaborate closely with product managers and engineers to ensure the system meets user needs effectively.

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What qualifications do I need to apply for the Forward Deployed Engineer role at Scale?

To be considered for the Forward Deployed Engineer position at Scale, you should have a proven track record of successfully shipping high-quality products or features at scale. Strong problem-solving skills, coding proficiency, and the ability to translate complex concepts to diverse audiences are essential. Familiarity with AI and machine learning concepts is preferred, along with some experience in working with enterprise customers.

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How does Scale ensure safety in AI deployments concerning the Forward Deployed Engineer role?

Safety in AI deployments is crucial, especially in the Forward Deployed Engineer role at Scale. The Oversight team is dedicated to real-time monitoring and intervention, ensuring that AI agents operate safely. By developing a robust monitoring infrastructure, the team addresses potential alignment issues between AI behavior and human values, fostering user trust and reliable performance.

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What should candidates expect during the interview process for the Forward Deployed Engineer position at Scale?

Candidates interviewing for the Forward Deployed Engineer role at Scale should expect a structured process focusing on both technical skills and collaborative abilities. Discussions may include problem-solving scenarios, coding assessments, and behavioral interviews to gauge how you work with teams and tackle real-world challenges in AI deployment.

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

The work culture at Scale, especially for Forward Deployed Engineers, is fast-paced and collaborative. You will be part of a dynamic team that values innovation and continuous learning in the evolving field of AI. The environment encourages experimentation and open communication, making it a great place for engineers eager to contribute to impactful projects.

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Common Interview Questions for Forward Deployed Engineer, Agent Oversight
Can you share an experience where you successfully integrated a complex system?

When addressing this question, provide a specific example that highlights your role in the integration process, detailing the challenges you faced and how you overcame them. Emphasize your approach to collaborating with team members and how your technical skills contributed to the project's success.

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What tools and technologies are you familiar with that could benefit Scale as a Forward Deployed Engineer?

In your response, outline specific tools, programming languages, and technologies you have worked with. Highlight how these have been applied in past projects, especially in the context of integration and AI deployment. Tailor your examples to align with Scale's tech stack, showcasing your knowledge and relevance.

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How do you prioritize tasks in a fast-paced environment?

Explain your approach to task prioritization, focusing on time management and collaboration. Share any strategies or tools you use to stay organized and keep track of progress, particularly in environments where rapid changes or customer demands may arise.

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Describe a challenge you faced in a previous project related to AI and how you approached it.

Provide a real-life example of a specific challenge you encountered, elaborating on the context and your role in navigating the issue. Detail your problem-solving process and the final outcome, emphasizing how your actions helped achieve project goals.

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How would you explain a complex technical concept to a non-technical stakeholder?

When tackling this question, discuss your strategies for simplifying complex ideas. Share how you have communicated technical concepts effectively in the past, demonstrating your ability to bridge the gap between technical and non-technical audiences.

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What interests you about working in AI and the Oversight team at Scale?

Express your genuine passion for AI and its potential. Discuss how your interests align with Scale's mission and the specific aspects of the Oversight team that excite you. This helps the interviewer see your motivation and cultural fit for the team.

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What do you believe is the most critical aspect of AI safety in deployment?

Share your thoughts on what constitutes AI safety, referring to aspects like alignment with human values, real-time monitoring, and intervention strategies. Supporting your viewpoint with examples or experiences will strengthen your answer.

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How do you stay updated with the latest trends and developments in AI?

Indicate your methods for keeping abreast of AI advancements, be it through online courses, reading research papers, attending conferences, or participating in community discussions. Highlight your enthusiasm for continuous learning in a rapidly changing field.

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Explain a scenario where user feedback significantly changed your engineering approach.

Discuss a specific instance where user feedback influenced your decisions. Detail how you collected the feedback, the fundamental changes made in response, and the outcomes resulting from your adjustments.

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What coding languages and frameworks are you proficient in relevant to this position?

Provide a comprehensive overview of the programming languages and frameworks you are skilled in. Relate them back to how they can be utilized effectively in the Forward Deployed Engineer role at Scale, showcasing your technical readiness for the position.

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Photo of the Rise User
Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Transparent & Candid
Growth & Learning
Fast-Paced
Collaboration over Competition
Take Risks
Friends Outside of Work
Passion for Exploration
Customer-Centric
Reward & Recognition
Feedback Forward
Rapid Growth
Medical Insurance
Paid Time-Off
Maternity Leave
Mental Health Resources
Equity
Paternity Leave
Fully Distributed
Flex-Friendly
Some Meals Provided
Snacks
Social Gatherings
Pet Friendly
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Dental Insurance
Life insurance
Health Savings Account (HSA)
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Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Transparent & Candid
Growth & Learning
Fast-Paced
Collaboration over Competition
Take Risks
Friends Outside of Work
Passion for Exploration
Customer-Centric
Reward & Recognition
Feedback Forward
Rapid Growth
Medical Insurance
Paid Time-Off
Maternity Leave
Mental Health Resources
Equity
Paternity Leave
Fully Distributed
Flex-Friendly
Some Meals Provided
Snacks
Social Gatherings
Pet Friendly
Company Retreats
Dental Insurance
Life insurance
Health Savings Account (HSA)

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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SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$152,000/yr - $190,000/yr
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 16, 2025

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