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Your impact

Handshake is hiring a Staff Machine Learning Engineer with a focus on Generative AI and Recommendations reporting to our Head of Core Relevance. 

AI is the future and we are excited to further invest in providing AI resources for our users on our platform. Is it possible to thoughtfully design a responsible, 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.

You will be part of a high-impact org that has already built a Data platform housing billions of data points, with cutting-edge production systems such as embedding-based retrieval, Graph Neural Networks, Fine-Tuned LLMs, and multi-stage rankers.  You will level up existing ML systems and drive marketplace metrics, while also accelerating greenfield AI-based products such as Social/Feed.  We’ll do all of this responsibly, with developed workstreams around Explainability, Fairness, and Quality.

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 -  spearheading a lean team of machine learning engineers and data scientists while enabling effective collaboration, high-quality execution, and technical excellence across the Data organization
  • You will be an Innovator -  developing algorithms and Machine Learning systems 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 ML experience as TL or TLM
  • Preferred Qualifications:  
    • MS/Ph.D. in Machine Learning, Statistics or a related field 
    • 7+ years of industry ML experience as TL or TLM
    • End-to-End experience building web-scale AI systems, feature stores, microservices
    • Background in one or more of the following areas of machine learning: recommendations, optimization, natural language processing (NLP), deep learning, LLMs, explainable AI
    • Experience building applications atop of IAAS (Google Cloud Platform, Amazon Web Services, Azure Cloud Services, etc.)
    • 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).

Compensation range

$235,000-260,000 

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