Senior Software Engineer, Data Experience at Scale AI

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

5+ years of full-time engineering experience post-graduation, with specialties in production back-end services
Experience delivering products within the data engineering, data science and experimentation domains
Experience developing and deploying software using industry-standard cloud-based tooling and frameworks
Experience scaling products at hyper-growth startups and excitement to work with AI technologies
Strong written and verbal communication skills
Strong problem-solving skills, and be able to work independently or as part of a team

Responsibilities

Provide critical input in the Data Engineering team’s roadmap and technical direction
Deliver flexible and accurate experimentation systems
Work across backend and frontend systems
Deliver at a high velocity and level of quality to engage our customers
Work across the entire product lifecycle from conceptualization through production
Be able, and willing, to multi-task and learn new technologies quickly
Work closely with cross-functional partners like finance, product, software engineers, and operations to identify opportunities for business impact, understand, refine and prioritize requirements for Data engineering

Skills

Key technologies and capabilities for this role

Data EngineeringExperimentation SystemsBackend DevelopmentFrontend DevelopmentData PipelinesSQLPythonAnalytics PlatformsRLHF

Questions & Answers

Common questions about this position

What experience level is required for this Senior Software Engineer role?

The role requires 5+ years of full-time engineering experience post-graduation, with specialties in production back-end services.

What key skills are needed for this position?

Candidates need experience in data engineering, data science, and experimentation domains, developing software with cloud-based tooling, scaling products at hyper-growth startups, plus strong communication and problem-solving skills.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of team and work environment can I expect?

The Data Analytics team builds data pipelines and reporting in close collaboration with delivery, operations, finance, and engineering, seeking relentlessly curious engineers who thrive on building systems from ambiguity.

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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