Staff+ Machine Learning Engineer - Generative AI

Company:  Handshake
Location: Denver
Closing Date: 23/10/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Everyone is welcome at Handshake. We know diverse teams build better products and we are committed to creating an inclusive culture built on a foundation of respect for all individuals. We strongly encourage candidates from non-traditional backgrounds, historically marginalized or underrepresented groups to apply.


Your impact

Handshake is hiring Staff, Senior Staff, and Principal Machine Learning Engineers with a focus on Generative AI reporting to the Vice President of Engineering of the Data organization.

AI is the future and we are excited to invest in providing AI resources for our users on our platform. In this role, you will work on tackling that goal as part of a lean, high-visibility team. You will be responsible for helping advance our AI product and infrastructure vision towards our mission of democratizing opportunity for millions of students on Handshake.


Your role

  1. You will be a Force Multiplier - setting technical direction, shaping engineering culture, identifying and adopting industry best practices, designing effective partnerships across the company, mentoring and coaching peers, and more.
  2. You will be a Leader - enabling effective collaboration, high-quality execution, and technical excellence across the Data organization.
  3. You will be an Innovator - developing algorithms and Machine Learning pipelines that connect users across the Handshake marketplace; from students looking for their first jobs and internships to employers sourcing candidates for high-priority roles.
  4. You will be a Collaborator - being an effective partner to product managers; you will work with product managers in driving new user experiences through Machine Learning and Natural Language Processing and build experiments that drive key product decisions and provide invaluable insights.

Your Experience

You are an experienced, hands-on senior engineering leader with extensive experience identifying problems, coming up with technical solutions, and driving projects to completion. You care about culture, mentorship, and collaboration just as much as you care about coding, architecture, and technical design. You have an extreme user-focus, you are comfortable with ambiguity, you can drive alignment, and you make thoughtful data-driven decisions.

  1. Basic Qualifications
  • Bachelor’s degree in Computer Science or related technical field or equivalent technical experience.
  • 4 years of industry experience.
  • Preferred Qualifications:
    • MS/Ph.D. in Machine Learning, Statistics or a related field.
    • 7+ years of industry experience.
    • Experience with modern Machine Learning, Natural Language Processing and Text-mining technologies.
    • Experience with large-scale distributed systems, server-side engineering, and ML applications in consumer products.
    • Experience using analytics/ML tools such as Python, R, Spark, BigQuery SQL, or Snowflake.
    • Experience in any of Golang, Java, Python, or Ruby.
    • Experience with distributed computing frameworks such as Hadoop or Spark, or distributed training of Machine Learning models.
    • Experience building applications atop of IAAS (Google Cloud Platform, Amazon Web Services, Azure Cloud Services, etc.).
    • Experience in optimizing multi-sided marketplaces using ML algorithms.
    • Experience working directly with cross-functional teams such as product management, analytics, engineering, and design.
    • Excellent communication skills — ability to succinctly communicate results and tell compelling stories with data to an out-of-domain audience (e.g. presenting findings and deep-dives to senior leadership).
    • Ability to diagnose technical problems, debug code, and automate routine tasks.

    Compensation Range

    $210,000-310,000 Note: This range covers 3 levels.


    About Us

    Handshake is the #1 place to launch a career with no connections, experience, or luck required. The platform connects up-and-coming talent with 750,000+ employers. In 2022 we announced our $200M Series F funding round. This Series F fundraise and valuation of $3.5B will fuel Handshake’s next phase of growth and propel our mission to help more people start, restart, and jumpstart their careers.


    What we offer

    At Handshake, we'll give you the tools to feel healthy, happy and secure.

    • Equity and ownership in a fast-growing company.
    • 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.
    • Comprehensive medical, dental, and vision policies including LGBTQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.
    • Handshake offers $500/£360 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.
    • Generous learning & development opportunities and an annual $2,000/£1,500/€1,850 stipend for you to grow your skills and career.
    • Financial coaching through Origin to help you through your financial journey.
    • Monthly internet stipend and a brand new MacBook to allow you to do your best work.
    • Monthly commuter stipend for you to expense your travel to the office (for office-based employees).
    • Free lunch provided twice a week across all offices.
    • Referral bonus to reward you when you bring great talent to Handshake.

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