Degree in Artificial intelligence- AI
Aartificial intelligence, Analytical and Problem solving, Large Language Models - LLMs, Machine learning techniques, MongoDB, Next.JS, Node.js, Python Programming, React.js
At Scale, we believe that AI will dramatically improve the world, and our mission is to accelerate the development of AI. To help achieve this mission, we are looking for engineers to help build out our team. AI is rapidly changing the world, and Scale is growing to meet that rapid demand.
Scale's Generative AI Data Engine powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment. We’re looking for entrepreneurial Software Engineers to join our team. As an Engineer of our Generative AI Data Engine team, you'll play a critical role in scaling, optimizing, and enhancing our core product and platform capabilities.
You will:
Ideally you’d have:
Nice to haves:
The base salary range for this full-time position in our hub locations of San Francisco is $212,000 - $255,000. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.
United States
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
4-6 year