Machine Learning Research Scientist / Research Engineer, Scale AI
Post-Training
$176-255k
Training and validation data for AI applications
Open for applications
Training and validation data for AI applications
1001+ employees
Open for applications
$176-255k
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
- Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning
- Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning
- 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 looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling)
- This role will focus on optimizing data curation and algorithmic improvements to enhance LLM capabilities in core areas such as instruction following, factuality, coding, multilingual and multimodal understanding
- In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models
- You will collaborate with researchers and engineers to define best practices in data-driven AI development
- You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models
- Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in areas of instruction following, factuality, coding, multilingual and multimodal understanding
- Design and experiment new approaches to preference optimization
- Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness
- Publish research findings in top-tier AI conferences
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 HQ
Rincon Hill, San Francisco, CA
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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