Machine Learning Research Scientist / Research Engineer, Scale AI
LLM Evaluation
$176-255k
+ Equity
Training and validation data for AI applications
Be an early applicant
Training and validation data for AI applications
1001+ employees
Be an early applicant
$176-255k
+ Equity
1001+ employees
Company mission
To accelerate the development of AI applications.
Role
Who you are
- Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field
- Strong background in deep learning and LLMs, with experience in model evaluation
- Familiarity with benchmarking tools and datasets for LLM evaluation
- Hands-on experience large-scale model training and deployment
- Excellent written and verbal communication skills
- Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
- Previous experience in a customer facing role
What the job involves
- We are seeking Research Scientists and Research Engineers with expertise in LLM evaluation
- You will play a key role in developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs
- We encourage collaborations within the industry and academia, and support the publication of research findings
- Successful candidates will partner with top foundation model labs, providing both technical and strategic input on the development of the next generation of generative AI models
- Design and develop novel evaluation benchmarks for large language models, covering areas such as coding, instruction following, factuality, robustness, and fairness
- Conduct research on the effectiveness and limitations of existing LLM evaluation techniques
- Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols
- Implement scalable and reproducible evaluation pipelines using modern ML frameworks
- Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives
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
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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