Distinguished Engineer at Scale AI

New York, New York, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

15+ years of experience as a technical software engineering leader
Proven record of technical leadership at AI-native companies, hyperscalers, or equivalent high-scale environments
Deep technical expertise in AI/ML infrastructure, knowledge of ML models/algorithm design/implementation and their application to real-world problems; experience with GenAI preferred
Demonstrated success in setting technical vision and leading cross-organizational initiatives with measurable business impact
Experience influencing and mentoring engineering teams in complex, matrixed environments
Ability to communicate and collaborate effectively to create a shared sense of vision or purpose cross-team and cross-functionality
Advanced degree in Computer Science, Engineering, or related field preferred but not required

Responsibilities

Define and drive the technical strategy for Scale’s AI/ML infrastructure and SGP platform, balancing short and long-term investments
Partner with senior engineering and product leadership to ensure scalable, secure, and performant enterprise AI systems
Lead architecture and design reviews across multiple teams, ensuring technical consistency and innovation
Serve as a trusted advisor and mentor to principal engineers and technical leads across the organization
Evaluate and integrate emerging technologies in AI, distributed systems, and data infrastructure to keep Scale at the frontier of innovation
Represent Scale externally in the AI community - through speaking engagements, partnerships, and thought leadership
Drive technical execution and accountability for critical cross-functional initiatives that advance Scale’s enterprise AI capabilities

Skills

Key technologies and capabilities for this role

AIMLGenerative AIDistributed SystemsData InfrastructureScalable SystemsArchitectureTechnical Leadership

Questions & Answers

Common questions about this position

What experience level is required for the Distinguished Engineer role?

The role requires 15+ years of experience as a technical software engineering leader, with a proven record at AI-native companies, hyperscalers, or high-scale environments.

What are the key technical skills needed for this position?

Candidates need deep technical expertise in AI/ML infrastructure, knowledge of ML models/algorithm design/implementation, and experience with GenAI preferred.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What makes a strong candidate for the Distinguished Engineer position?

A strong candidate has demonstrated success in setting technical vision, leading cross-organizational initiatives with business impact, and experience influencing and mentoring teams in complex environments.

Scale AI

AI platform for data and models

About Scale AI

Scale AI provides a platform that helps businesses develop AI applications by utilizing their enterprise data to customize generative models. The platform includes tools for collecting, curating, and annotating data, as well as features for evaluating and optimizing models. Scale works with a variety of clients, including major tech companies like Microsoft and Meta, government agencies such as the U.S. Army and Airforce, and startups like Brex and OpenSea. What sets Scale apart from its competitors is its comprehensive suite of tools and services that focus on safely unlocking the value of AI. The company's goal is to enhance the performance of advanced language models and generative models, making AI more accessible and effective for its clients.

San Francisco, CaliforniaHeadquarters

2016Year Founded

$1,558.9MTotal Funding

SERIES_FCompany Stage

Data & Analytics, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health, Dental & Vision Coverage - Our health plans give you the flexibility to select the right coverage for you and eligible family members through a variety of plan options.

Easy to use 401(K) - Plan and invest for the future with a 401(k) via Guideline. Scale’s 401(k) plan provides you an opportunity to defer compensation for your long-term savings.

Wellness Fund - We care about the physical, mental, and emotional wellbeing of all Scaliens. Our $100/month wellness stipend can be used for gym memberships, acupuncture, meditation apps, and so much more.

Virtual Social Activities - Being remote has not stopped us from hosting fun virtual events. From trivia night to candle making, we ensure employees are fostering connections & building strong relationships.

Learning & Development - We know how important career growth is for Scaliens, so we offer a $500/year L&D stipend to help support continued development throughout your journey.

Flexible hours allow you to work when you are most productive. You can work with your manager to best plan your daily work schedule.

Generous Paid Time Off - Enjoy time to travel or plan a staycation. We encourage employees to take time off to recharge and prevent burnout. We have a flexible PTO policy where each employee is afforded the flexibility to take planned time-off as needed.

Commuter Benefits - Set aside pre-tax dollars to use on qualified transportation expenses to help ease your commute.

Parental Leave - Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.

Risks

Legal issues over labor practices could harm Scale AI's reputation and financial standing.

Controversial stance on DEI may deter potential talent and partnerships, affecting growth.

Expansion in San Francisco could increase operational costs amid uncertain economic conditions.

Differentiation

Scale AI offers comprehensive data annotation for AI, unlike competitors focusing on single modalities.

The platform supports diverse clients, from tech giants to government agencies, enhancing its versatility.

Scale AI's commitment to AI safety initiatives sets it apart in responsible AI development.

Upsides

Growing demand for AI data annotation boosts Scale AI's market potential and client base.

Expansion into defense applications opens new revenue streams and strategic partnerships.

Partnerships with AI safety organizations enhance Scale AI's reputation as a responsible AI leader.

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