Research Engineer

Recruiting From Scratch

San Francisco, California

JOB DETAILS
SKILLS
A/B Testing, Algorithms, Analysis Skills, Artificial Intelligence (AI), Best Practices, Business-to-Business (B2B), Business-to-Business (B2B) Software, Continuous Improvement, Cross-Functional, Data Analysis, Data Processing, Data Science, Documentation, Funding, Git, Infrastructure as a Service (IaaS), Knowledge Transfer, Machine Learning, Model Validation, Performance Metrics, Performance Modeling, Performance Tuning/Optimization, Process Improvement, Production Systems, Programming Languages, Python Programming/Scripting Language, R Programming Language, Requirements Management, SQL (Structured Query Language), Software Development, Source Code/Configuration Management (SCM), Technical Delivery
LOCATION
San Francisco, California
POSTED
30+ days ago

Research Engineer

  • Title of Role: Research Engineer
  • Location: San Francisco, onsite
  • Company Stage of Funding: Venture-Backed — Software Development, AI, Devtools, Data, Enterprise, B2B
  • Office Type: Onsite
  • Salary: $225K–$400K

Company Description

We're representing a dynamic venture-backed company that specializes in cutting-edge software development and AI solutions. This company is at the forefront of creating innovative tools that empower businesses to harness data effectively and drive operational efficiency. With a strong focus on B2B applications, they are committed to pushing the boundaries of technology and delivering exceptional value to their clients.

What You Will Do

  • Design and implement machine learning models to monitor and analyze agent behavior at scale.
  • Collaborate with cross-functional teams to identify and define project requirements and milestones.
  • Utilize advanced data analysis techniques to extract insights and optimize performance metrics.
  • Conduct experiments and A/B tests to validate model performance and drive continuous improvement.
  • Develop and maintain documentation for algorithms and processes to ensure knowledge transfer and compliance.

Ideal Candidate Background

  • 1 to 4 years of experience in machine learning or data science roles.
  • Proficiency in programming languages such as Python or R, with a strong understanding of machine learning libraries.
  • Experience in data manipulation and analysis using tools like SQL or similar technologies.
  • Familiarity with cloud services and infrastructure relevant to AI and data processing.

Preferred

  • Experience with deploying machine learning models in production environments.
  • Knowledge of software development best practices and version control systems like Git.
  • Exposure to B2B software solutions and understanding of enterprise-level challenges.

Compensation and Benefits

The base salary for this role ranges from $225K to $400K, complemented by competitive equity options. This company values its employees and offers a collaborative work environment that fosters innovation and professional growth.

About the Company

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Recruiting From Scratch