Postman
Applied AI Scientist, Small Language Model and AI Training San Francisco, Califo
Postman, Cupertino, California, United States, 95014
Applied AI Scientist, Small Language Model and AI Training
Who Are We?
Postman is the world’s leading API platform, used by more than 40 million developers and 500,000 organizations, including 98% of the Fortune 500. Postman helps developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster.
The company is headquartered in San Francisco and has offices in Boston, New York, and Bangalore. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman.
What You’ll Do
Lead research and development of novel training methodologies and architectures for small and efficient language models.
Design, implement, and evaluate model training experiments to improve performance, robustness, and generalization of language models.
Collaborate closely with research scientists and engineers on scalable training pipelines and model deployment strategies.
Develop techniques for model compression, fine-tuning, and domain adaptation to optimize models for real-world applications.
Ensure AI safety, fairness, and alignment principles are integrated into model training processes and evaluated rigorously.
Mentor and support cross-functional teams on applied machine learning methods and best practices.
Evaluate and integrate new tools, frameworks, and datasets to accelerate AI training workflows.
Partner with product teams to translate model capabilities into actionable features aligned with user needs and ethical standards.
About You
Have demonstrated experience in applied research or engineering roles focused on training language models, ideally small or efficient models.
Strong programming skills in Python and familiarity with machine learning frameworks such as PyTorch, TensorFlow, or JAX.
Deep understanding of language model architectures, training techniques, and optimization strategies.
Experience with distributed training, data pipeline design, and scalable AI infrastructure.
Passion for AI safety, interpretability, and delivering user-centered AI technology.
Excellent communication skills with proven ability to collaborate across research, engineering, and product teams.
Preferred
Prior experience working with large and small language models in production or research settings.
Background in reinforcement learning, prompt engineering, or transfer learning techniques.
Experience with developer tools, APIs, or frameworks related to AI model integration and delivery.
Knowledge of AI alignment, fairness, and ethical AI training methodologies.
The reasonably estimated base salary for this role ranges from $250,000.00 to $276,000.00, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
What Else? In addition to Postman's pay-on-performance philosophy, and a flexible schedule working with a fun, collaborative team, Postman offers a comprehensive set of benefits, including full medical coverage, flexible PTO, wellness reimbursement, and a monthly lunch stipend. Our wellness programs help you stay in good health, and our team-building events keep you connected. We also have a donation-matching program to support causes you care about. We’re building a long-term company with an inclusive culture where everyone can be the best version of themselves.
At Postman, we embrace a hybrid work model. For roles based in the San Francisco Bay Area, Boston, Bangalore, Hyderabad, and New York, employees are expected to come into the office 3 days a week. Our approach balances flexibility and collaboration, grounded in feedback from our workforce, leadership, and peers. The benefits of our hybrid model include knowledge sharing, in-person brainstorming, and building trust that is difficult to replicate virtually.
Our Values At Postman, we create with the same curiosity we see in our users. We value transparency and honest communication about both successes and failures. We focus on specific goals that contribute to a larger vision. Our inclusive work culture ensures that everyone is valued as an important part of the final product. We are dedicated to delivering the best products we can.
Equal opportunity Postman is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, or disability status. Postman does not accept unsolicited resumes from headhunters or agencies without a signed agreement.
Disability Self-Identification and related disclosures are voluntary and kept confidential. This posting contains the information required by applicable laws and is intended to be compliant with EEO/OFCCP guidelines.
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The company is headquartered in San Francisco and has offices in Boston, New York, and Bangalore. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman.
What You’ll Do
Lead research and development of novel training methodologies and architectures for small and efficient language models.
Design, implement, and evaluate model training experiments to improve performance, robustness, and generalization of language models.
Collaborate closely with research scientists and engineers on scalable training pipelines and model deployment strategies.
Develop techniques for model compression, fine-tuning, and domain adaptation to optimize models for real-world applications.
Ensure AI safety, fairness, and alignment principles are integrated into model training processes and evaluated rigorously.
Mentor and support cross-functional teams on applied machine learning methods and best practices.
Evaluate and integrate new tools, frameworks, and datasets to accelerate AI training workflows.
Partner with product teams to translate model capabilities into actionable features aligned with user needs and ethical standards.
About You
Have demonstrated experience in applied research or engineering roles focused on training language models, ideally small or efficient models.
Strong programming skills in Python and familiarity with machine learning frameworks such as PyTorch, TensorFlow, or JAX.
Deep understanding of language model architectures, training techniques, and optimization strategies.
Experience with distributed training, data pipeline design, and scalable AI infrastructure.
Passion for AI safety, interpretability, and delivering user-centered AI technology.
Excellent communication skills with proven ability to collaborate across research, engineering, and product teams.
Preferred
Prior experience working with large and small language models in production or research settings.
Background in reinforcement learning, prompt engineering, or transfer learning techniques.
Experience with developer tools, APIs, or frameworks related to AI model integration and delivery.
Knowledge of AI alignment, fairness, and ethical AI training methodologies.
The reasonably estimated base salary for this role ranges from $250,000.00 to $276,000.00, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
What Else? In addition to Postman's pay-on-performance philosophy, and a flexible schedule working with a fun, collaborative team, Postman offers a comprehensive set of benefits, including full medical coverage, flexible PTO, wellness reimbursement, and a monthly lunch stipend. Our wellness programs help you stay in good health, and our team-building events keep you connected. We also have a donation-matching program to support causes you care about. We’re building a long-term company with an inclusive culture where everyone can be the best version of themselves.
At Postman, we embrace a hybrid work model. For roles based in the San Francisco Bay Area, Boston, Bangalore, Hyderabad, and New York, employees are expected to come into the office 3 days a week. Our approach balances flexibility and collaboration, grounded in feedback from our workforce, leadership, and peers. The benefits of our hybrid model include knowledge sharing, in-person brainstorming, and building trust that is difficult to replicate virtually.
Our Values At Postman, we create with the same curiosity we see in our users. We value transparency and honest communication about both successes and failures. We focus on specific goals that contribute to a larger vision. Our inclusive work culture ensures that everyone is valued as an important part of the final product. We are dedicated to delivering the best products we can.
Equal opportunity Postman is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, or disability status. Postman does not accept unsolicited resumes from headhunters or agencies without a signed agreement.
Disability Self-Identification and related disclosures are voluntary and kept confidential. This posting contains the information required by applicable laws and is intended to be compliant with EEO/OFCCP guidelines.
#J-18808-Ljbffr