Staff+ Machine Learning Engineer - Generative AI

 Published 13 days ago
    
 United States
    
 210,000-310,000
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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. Is it possible to thoughtfully design a responsible, Generative AI-driven product, that can help our students progress from educational aspirations to career achievements?  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

  • 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. 
  • You will be a Leader -  enabling effective collaboration, high-quality execution, and technical excellence across the Data organization
  • 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.
  • 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. 

  • 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

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