Applied AI Scientist, Small Language Model and AI Training at Postman

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Software, Artificial IntelligenceIndustries

Requirements

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
Preferred: Background in reinforcement learning, prompt engineering, or transfer learning techniques
Preferred: Experience with developer tools, APIs, or frameworks related to AI model integration and delivery
Preferred: Knowledge of AI alignment, fairness, and ethical AI training methodologies

Responsibilities

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

Skills

Language Models

Model Training

Model Compression

Fine-tuning

Domain Adaptation

AI Safety

Model Architecture

Research

Experiment Design

Scalable Training Pipelines

Postman

API development and collaboration platform

About Postman

Postman provides a platform for API development that helps developers and organizations design, test, document, and monitor APIs. The tools available on Postman enable teams to collaborate effectively, allowing them to share and manage APIs with ease. Users can access a variety of features through a subscription model, which includes different pricing tiers for individuals, small teams, and large enterprises, along with a free tier to attract new users. Postman has played a significant role in facilitating data exchange during the COVID-19 pandemic by offering API collections that provide real-time data for healthcare professionals, researchers, and government agencies. The company's goal is to streamline the API development process and enhance collaboration among development teams.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$422.2MTotal Funding

SERIES_DCompany Stage

Enterprise Software, HealthcareIndustries

1,001-5,000Employees

Benefits

Accidental Death & Dismemberment Insurance.

Dental Insurance.

Disability Insurance.

Flexible Spending Account (FSA)

Health Savings Account (HSA)

Life Insurance.

Mental Health Care.

Occupational Accident Insurance.

Risks

Rapid adoption of generative AI tools could increase competition for Postman.

Explosive API growth may challenge Postman's API management capabilities by 2025.

Data breaches due to exposed API secrets pose a significant security risk.

Differentiation

Postman offers a comprehensive API development environment for developers and enterprises.

The platform supports API-first development, automated testing, and developer onboarding.

Postman's subscription model caters to individual developers, small teams, and large enterprises.

Upsides

Postman's acquisition of Orbit enhances community engagement on the API Network.

Release of Postman v11 aligns with AI integration trends, boosting developer productivity.

Gartner predicts 80% of enterprises will use generative AI APIs by 2026.

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