AI/Machine Learning Engineer at Bee Genius (Sunnyvale, CA)

Bee Genius· Sunnyvale, CA·1d ago

Job description

At Bee Genius, we are building the future of work, today.

Job Description: We are seeking an AI/Machine Learning Engineer to join our team. As an AI/Machine Learning Engineer, you will be responsible for developing and implementing machine learning models and algorithms to solve complex business problems.

Responsibilities:

Design and develop machine learning models and algorithms
Train and evaluate models using large datasets
Optimize and fine-tune models for performance and accuracy
Collaborate with data scientists and software engineers to integrate models into production systems
Stay updated with the latest advancements in AI and machine learning
Ensure the ethical use of AI technologies

Requirements:

Master's or Ph.D. in Computer Science, Data Science, or a related field
Strong programming skills in Python or R
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
Knowledge of statistical analysis and data visualization techniques
Understanding of deep learning architectures and algorithms
Excellent problem-solving and critical-thinking skills

Salary Range: $155,000 - $200,000 per year Start your job-matching journey today! #BeeGenius

Why work at Bee Genius

Culture & Mission: The company is deeply mission-driven, with a strong emphasis on culture and retention—not just for clients, but internally. They describe themselves as "innovators" and "culture-builders."
Innovative Work: Employees work on cutting-edge AI and HR technology, building the systems that define how companies hire.
Diverse Team & Collaboration: The company highlights a diverse team that works collaboratively to tackle complex challenges.
Growth Opportunities: With active hiring across multiple locations and functions, there are opportunities for career growth as the company scales.
Work Locations: Offices are located in several US tech hubs including Sunnyvale, Los Angeles, Boston, Raleigh, and others. The specific remote/hybrid policy is not explicitly stated in public sources.
Salary Transparency: Job postings include salary ranges (e.g., $50k-$80k for a Career Advisor, $70k-$100k for a Customer Success Manager), providing transparency for candidates.

About Bee Genius

Company Overview

One-liner: Bee Genius provides next-generation human capital solutions, using a proprietary "Culture as an Algorithm" methodology and AI to help organizations hire for retention and cultural fit.
Entity Type: Private (funding stage not publicly disclosed)
Headquarters: San Leandro, California, USA
Founded: Not publicly available (the company mentions building its "Culture as an Algorithm" methodology starting in 2021)
Founders: Not publicly disclosed

Core Business

Primary Industry: HR Technology (HR-Tech) / Talent Acquisition & Recruiting
Target Customers: B2B, serving organizations of all sizes (SMB to Enterprise) that need to build, supplement, or scale their hiring teams.
Mission: To bring organizations teams that endure, with retention as the #1 metric, by using a culture-first hiring algorithm that evaluates people as whole people, not just data points on a resume.

Products & Services

Algorithmic Talent Matching: An AI-driven system that evaluates personality, motivation, and engagement to go beyond the resume and predict cultural fit.
Process Efficiency as a Service: Streamlining the entire hiring process to help companies build dynamic teams faster.
Passive Candidate Outreach: Activating and engaging a network of over 200,000 pre-screened candidates in high-demand industries.
Embedded Recruiting: Positioning Bee Genius talent as a direct extension of the client’s team to build an internal talent function.
Bespoke Resource Development: Custom software and solution development tailored to a client’s specific hiring workflow.
Revenue-Driving Insights & Business Analytics: Providing analytics to monitor hiring and prepare for future talent needs.
Whole-Person Assessment: An assessment methodology that prioritizes organizational alignment ("fit") above functional alignment or expertise.

Market Standing

Valuation/Market Cap: Not publicly disclosed.
Key Metric: The company reports it "undercuts industry turnover by more than 20%."
Notable Investors/Partners: The company won the 2022 Tony Hsieh Award for ground-breaking work in human capital. No specific investors are named in public sources.
Growth Signals: The company actively posts for a wide range of roles (AI/ML Engineer, DevOps, Data Scientist, Customer Success Manager, Career Advisor, etc.) across multiple US locations (Sunnyvale, Fort Worth, Los Angeles, Boston, Raleigh, etc.), indicating scaling operations.

Competitive Advantages

Culture as an Algorithm: A proprietary, systematic hiring methodology that prioritizes cultural alignment over pure functional alignment, aiming to dramatically improve retention.
AI-Driven Whole-Person Assessment: Uses AI that leverages data beyond traditional web-crawler views to evaluate not just "Can they do the job?" but "Will they?"
Large Pre-Screened Network: Access to a network of 200,000+ pre-screened candidates, enabling rapid activation and scaling of passive candidate outreach.
Open-Source Technology: The company describes its technology as "automation-heavy and open-source," allowing clients to spend more time hiring and less time navigating disparate systems.

Strategic Focus

Scaling the Team: Active hiring for a diverse range of technical and non-technical roles suggests a focus on scaling the company itself.
Deepening AI Capabilities: Continued development of its AI-driven matching and assessment algorithms.
Expanding Client Base: Offering a range of services from full-cycle recruiting to embedded talent and custom development, targeting a broad spectrum of clients.
Building the Future of Work: The company’s tagline and job postings emphasize a commitment to "pushing the boundaries of what's possible in the HR-Tech sector."

Sources

Job description

Why work at Bee Genius

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