Full-Time

Manager – Machine Learning Research Engineer

Generative AI

Posted on 8/15/2023

Scale AI

Scale AI

1,001-5,000 employees

Generative AI platform for enterprise data

AI & Machine Learning
Data & Analytics
Industrial & Manufacturing

Senior, Expert

San Francisco, CA, USA

Required Skills
Python
Tensorflow
Data Structures & Algorithms
Pytorch
AWS
Natural Language Processing (NLP)
Google Cloud Platform
Requirements
  • 7+ years of full time work experience using LLM, deep learning, deep reinforcement learning, or natural language processing in a production environment
  • Strong programming skills in Python, experience in PyTorch or Tensorflow
  • Experience with MLOps and the automation of model training & evaluation
  • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
  • Solid background in algorithms, data structures, and object-oriented programming
  • Degree in computer science or related field
Responsibilities
  • Manage a team of highly effective researchers and engineers
  • Provide guidance, mentorship, and technical leadership to a team of researchers and engineers working on Generative AI projects
  • Develop and evaluate methods for integrating machine learning into human-in-the-loop labeling systems
  • Implement and improve on state-of-the-art models
  • Work with product and research teams to identify opportunities for improvement
  • Work with massive datasets to develop generic and fine-tuned models
  • Work with customers and 3rd party research groups to understand goals
  • Build a scalable ML platform for automated ML services
  • Be able to multi-task and learn new technologies quickly

Scale AI specializes in enhancing AI application development for a diverse range of clients, including top tech companies, startups, and government agencies, through its Scale Generative AI Platform. This platform not only expedites the development of AI applications but also integrates comprehensive services such as data collection, curation, annotation, model evaluation, and optimization via its Scale Data Engine. This robust technological synergy allows for effective application of generative models tailored to individual enterprise needs, positioning Scale AI as a leader in facilitating advanced AI solutions.

Company Stage

Series F

Total Funding

$1.6B

Headquarters

San Francisco, California

Founded

2016

Growth & Insights
Headcount

6 month growth

46%

1 year growth

130%

2 year growth

221%

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.

INACTIVE