About Turing
Based in Palo Alto, California, Turing is the world’s first AI-powered tech services company. It has reimagined tech services from the ground up with AI by offering AI-vetted and matched talent, AI-accelerated development, and access to AI transformation experts who have built many of the most iconic Silicon Valley companies.
Founded in 2018, the company has experienced tremendous growth with three million global developers on its Talent Cloud and 900+ clients. Turing has received numerous awards, including Forbes’s 2022 “One of America’s Best Startup Employers,” being ranked #1 in The Information’s 2021 Annual List of most promising B2B Companies and Fast Company’s “Annual List of the World’s Most Innovative Companies.”
About the Role:
We are seeking a highly skilled and motivated Staff Machine Learning Engineer to lead our research agenda in Artificial General Intelligence (AGI). This role will focus on advancing Turing’s core capabilities in the areas of large language models (LLMs) to address various use cases relevant to our clients. The ideal candidate will have a strong background in deep learning, with expertise in large language models (LLMs), including model improvement using fine-tuning, synthetic data generation, etc. As a key technical leader, you will play a pivotal role in designing, developing, and deploying cutting-edge machine learning models that power our AI-driven products.
Key Responsibilities:
- Research Leadership: Drive the AGI research agenda, lead the design, development, and optimization of large-scale machine learning models, with a focus on deep learning and LLMs.
- Technical Excellence: Apply your strong foundation in LLMs to fine-tune pre-trained LLMs for various applications and domains, ensuring high performance and accuracy.
- Innovation: Stay up to date with the latest advancements in machine learning, deep learning, and AI, and apply them to improve existing systems.
- Team Collaboration: Work closely with cross-functional teams including data scientists, engineers, and research scientists to integrate and optimize solutions.
- Client Solutions: Collaborate with clients to understand their needs and tailor our models and data generation techniques accordingly.
Qualifications:
Education:
- PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field with 2-3 years of hands-on experience in LLM fine-tuning, or
- Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field with a minimum of 5 years of relevant experience.
Experience:
- Proven expertise in large language models, including fine-tuning and application for various use cases with a track record of deploying models in production.
- Direct experience with synthetic data generation for fine-tuning purposes is highly desirable.
- Experience in leading technical projects and mentoring junior team members is a big plus.
Skills:
- Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or similar.
- In-depth knowledge of neural network architectures, transformers, and Computer Vision and/or NLP techniques.
- Strong analytical and problem-solving skills with a track record of innovative research and practical application.
- Experience with distributed computing and GPU acceleration for training large models.
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and ability to work in a collaborative, fast-paced environment.
- Strong communication skills, both written and verbal.
Why Join Us?
- Cutting-Edge Work: Engage in groundbreaking research and development in AGI and related technologies.
- High-Impact Projects: Work on high-profile projects with leading clients in the tech industry.
- Collaborative Environment: Be part of a dynamic team that values innovation and collaboration.
- Career Growth: Opportunity for professional development and career advancement in a fast-paced, forward-thinking company.
How to Apply:
If you are passionate about advancing AGI research and possess the skills and experience required, we encourage you to apply. Please submit your resume detailing your relevant experience.
Turing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.