Forward Deployed Engineer, Scale AI
New Graduate
$124-145k
+ Equity grant for eligible roles
Training and validation data for AI applications
Be an early applicant
Training and validation data for AI applications
1001+ employees
Be an early applicant
$124-145k
+ Equity grant for eligible roles
1001+ employees
Company mission
To accelerate the development of AI applications.
Role
Who you are
- If you love leading customer teams by designing and delivering customized solutions, providing hands-on support, and working on some of the most difficult challenges this is the role for you!
- A graduation date in Fall 2024 or Spring 2025 with a Bachelor’s degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics)
- Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out ‘what’ to build and then iterating
- Previous Computer Science/Software Engineering Internship experience
- Track record of shipping high-quality products and features at scale
- Experience building systems that process large volumes of data
- Experience with Python, React, typescript and/or MongoDB
What the job involves
- Scale is seeking talented Forward Deployed Engineers (FDEs) to embark on a transformative journey with our customers, helping them unlock their full potential and accelerate their growth and adoption of Scale’s platform
- As a Forward Deployed Engineer, you'll have the unique opportunity to work side-by-side with Scale's customers in a highly dynamic and collaborative environment
- You'll be an integral part of our customers' technical teams, shaping their daily operations and working directly within their codebase
- You’ll meet with our customers regularly onsite and be responsible for their entire data pipelines from hardware and sensor configuration to data processing and transformations
- By providing bespoke integration and platform readiness support tailored to each customer's distinct needs, you'll be able to make a tangible impact on their business
- This role will be a part of Scale’s Field Engineering team that supports Scale’s most strategic customers
- You will collaborate closely with various stakeholders at Scale including product and engineering teams to contribute valuable insights to enhance our products and services, and ultimately drive customer satisfaction, and consumption of Scale’s platform
- Have an In depth understanding of customer hardware and sensor configuration. Ability to troubleshoot, design, and recommend specific hardware solutions to optimize raw data capture
- Own, document, troubleshoot, and optimize the customer’s entire data pipeline including complex data transformations and processing from raw sensor capture to model ingestion
- Work in all your development environments by writing and debugging code directly in your codebase. They will have the same level of access as a customer’s engineers
- Meet regularly with customer teams onsite (strong preference) and virtually to collaborate cross functionally with all teams responsible for their data pipeline
- Be the technical point of contact for all data related questions and troubleshooting
- Interface directly with Scale teams for proper data ingestion
Application process
- Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants
Our take
When training AI models, lack of access to large scale, high quality, labelled data is often the barrier preventing machine learning teams from building something great. In fact, labelled data is even more essential than the algorithms themselves. Scale AI is solving this by providing easy access through developer APIs to a huge variety of labelled data sets covering a large range of areas within computer vision and natural language processing.
It seems that almost every company now is offering artificial intelligence enabled products to automate every aspect of our lives. By positioning themselves as the go-to source for high quality tagged data, Scale AI is in an excellent position as the AI sector continues it's exponential growth.
With innovative AI projects across a range of sectors including retail, energy, and healthcare, Scale AI is now a leader in the industry alongside OpenAI. It continues to forge partnerships with fintech tools and software engine developers such as Brex and Luminar to continue its evolution of digital markets.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
31% female employees
38% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
May 2024
$1bn
SERIES F
Apr 2021
$325m
SERIES E
Total funding: $1.6bn
Company 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 Work Hours: 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
Company values
- Earn customer love: We are passionate about our customers and devoted to their success. We know that customer trust and confidence is earned, not given, with every interaction, every delivery, and every time we solve a customer problem
- Intellectual rigor, open mind: We think in clear verifiable hypotheses and continuously obtain data that validates or refutes them. We ask questions and challenge assumptions to get consistently to the truth
- Ambition shapes reality: We are extremely ambitious in what we can accomplish. We set high standards, expecting to fail in the short-term but knowing that failure guides us to learn and ultimately succeed
- Team flow: We are energized by each other’s success and actively invest in others with care, candor, and focus. Ideas flow openly between us because we treat each other with trust and respect
- Ownership is the job: We think like owners. We embody expansive ownership and are big believers in our ability to drive outcomes and enact change
- Run through walls: We are undaunted by barriers and race towards overcoming them. We step outside of our comfort zone, test our ideas, and do the hard work to get to the right solution to a hard problem
- Up the tempo: We move with agility and intent, and swiftly make two-way door decisions that allow us to learn faster, adapt quickly, and ultimately do more
- Results speak loudest: We define goals with intent and evaluate our outcomes with objectivity. At the end of the day, we measure ourselves by our results
Company HQ
Rincon Hill, San Francisco, CA
Articles
Leadership
Alexander Wang
(CEO)Dropped out of a bachelors degree at MiT in Computer Science and Mathematics. Previously worked for 2 years as a Software Engineer and Algorithm Developer in the finance industry and 2 years as a Tech Lead at Quora. Youngest founder funded by Accel as a teenager.
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