Architect of Scalable AI Training Data

Thinkingmachines; San Francisco (CA); On-site; USD 350,000 - 475,000; Full time

Benefits offered by this job

Unlimited PTO

Paid parental leave

Health, dental, and vision benefits

Relocation support

Job summary

Thinking Machines in San Francisco is seeking a pre-training researcher focused on enhancing AI model datasets. The role demands expertise in data sourcing and curating large-scale datasets, emphasizing collaboration and research integration.

Minimum qualifications include a Bachelor's in Computer Science or a related field with proficiency in Python. The competitive compensation ranges from $350,000 to $475,000 annually, alongside robust benefits.

Qualifications

• Proficiency in Python and familiarity with at least one deep learning framework.
• Bachelor’s degree or equivalent experience in related discipline.
• Clarity in communication, able to explain complex technical concepts.

Responsibilities

• Design and implement techniques for curating and filtering data.
• Develop metrics and analyze data quality across sources.
• Collaborate with teams to scale data processing systems.

Skills

Proficiency in Python

Familiarity with deep learning frameworks

Clarity in communication

Strong grasp of probability and statistics

Experience evaluating training data quality

Education

Bachelor’s degree in relevant field

PhD in relevant discipline

Tools

PyTorch

TensorFlow

JAX

Job description

Thinking Machines in San Francisco is seeking a pre-training researcher focused on enhancing AI model datasets. The role demands expertise in data sourcing and curating large-scale datasets, emphasizing collaboration and research integration.

Minimum qualifications include a Bachelor's in Computer Science or a related field with proficiency in Python. The competitive compensation ranges from $350,000 to $475,000 annually, alongside robust benefits.