Machine Learning Research Scientist (AI)

TL;DR

Machine Learning Research Scientist (AI): Performing exploratory data analysis and building/training models using the latest ML frameworks to integrate AI solutions into cybersecurity products with an accent on frontier research and practical implementation. Focus on designing software systems around models, fine-tuning existing ones, and bringing cutting-edge technologies into a production setting.

Location: Remote, United States only. Compensation tiers vary based on proximity to major US cities (San Francisco, Los Angeles, Seattle, New York, Boston, Washington, DC for Tier 1; all other US locations for Tier 2).

Salary: $115,000–$135,000 USD

Company

hirify.global is a high-growth company delivering AI solutions that address world challenges, specializing in Large Quantitative Models (LQMs) for sectors like life sciences, financial services, navigation, and cybersecurity. The company emerged from Alphabet Inc. as an independent entity in 2022.

What you will do

• Perform exploratory data analysis and feature engineering on vast quantities of data.
• Train models and build agents using the latest machine learning frameworks.
• Integrate research outcomes into the product portfolio by working closely with the engineering team.
• Present your work to broad audiences from academic circles to industry stakeholders.
• Enable cutting-edge technologies effectively as a key contributor to a multidisciplinary R&D environment.

Requirements

• PhD in Machine Learning, Data Science, Computer Science, or a related field with a strong focus on Machine Learning.
• Strong experience in Python and ML frameworks such as Hugging Face Transformers, LangChain, TensorFlow, or PyTorch.
• Successful research track record in the field of Machine Learning.
• Hands-on model development skills, including building models from scratch and running inference efficiently (generative and quantitative).

Nice to have

• Experience with Agentic Frameworks (e.g., OpenAI agents, Google ADK, MCP).
• Experience contributing to open-source projects.
• Domain knowledge in cybersecurity.

Culture & Benefits

• Competitive base salary, performance-based incentives, and equity participation.
• Comprehensive medical, dental, and vision coverage, retirement savings with company matching, and paid parental leave.
• Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements.
• Opportunities for continuous learning and growth through on-the-job development and cross-functional collaboration.
• Fostering a culture of belonging and respect in a multidisciplinary environment with humble, empowered, and ambitious colleagues.