Research Engineer

Recruiting From Scratch

  • San Francisco, California
  • 30+ days ago

    Highlights

    This company is at the forefront of creating innovative tools that empower businesses to harness data effectively and drive operational efficiency. We're representing a dynamic venture-backed company that specializes in cutting-edge software development and AI solutions.

    Numbers & Facts

    LocationSan Francisco, California

    Description

    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.

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