Staff Machine Learning Engineer

at  Turing

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.”
The company’s leadership team comprises both AI technologists from leading organizations including Meta, Google, Microsoft, Apple, Amazon, Twitter, Stanford, Caltech, MIT as well as tech consulting veterans from Accenture, Cognizant, Capgemini, McKinsey, Bain, and more.

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.

ADVANTAGES OF JOINING TURING:

• Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
• Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
• Competitive compensation
• Flexible working hours
• Full-time remote opportunity
  Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
  For applicants from the European Union, please review Turing’s GDPR notice here

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.