TL;DR

Machine Learning Engineer (AI): Building and improving machine learning models to detect harmful behaviors and ensure safety in AI systems with an accent on AI safety, anomaly detection, and behavioral classifiers. Focus on designing safeguards, training models for abuse detection, and integrating systems into production environments.

Location: Hybrid with at least 25% in-office presence in San Francisco, USA

Salary: $315,000 - $425,000 USD annually

Company

%hirify_global% is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems that are safe and beneficial for society.

What you will do

Build machine learning models to detect unwanted or anomalous user behaviors and integrate them into production systems
Improve automated detection and enforcement systems
Analyze user reports and proactively detect inappropriate accounts
Collaborate with research teams to identify abuse patterns and harden models

Requirements

Must be able to work hybrid with at least 25% office presence in San Francisco
English proficiency at least B2 level
4+ years experience in ML engineering or applied research with focus on AI safety
Proficiency in Python, LLMs, SQL, data analysis, and data mining tools
Experience building safe AI/ML systems such as behavioral classifiers or anomaly detection
Strong communication skills to explain complex technical concepts to non-technical stakeholders

Nice to have

Experience with machine learning frameworks like Scikit-Learn, TensorFlow, or PyTorch
Experience with high-performance, large-scale ML systems
Knowledge of language modeling with transformers and reinforcement learning
Experience with large-scale ETL processes

Culture & Benefits

Competitive compensation including equity and benefits
Visa sponsorship available with immigration lawyer support
Generous vacation and parental leave
Flexible working hours and collaborative office environment
Focus on diversity and inclusion with encouragement to apply regardless of meeting all qualifications