Machine Learning Engineer — AI Safety & Assurance

Location: Seattle; fully in-person schedule up to 5 days a week

Salary: $177,688–$341,734 annually, plus potential discretionary bonuses, incentives, and restricted stock units.

Company

hirify.global operates data privacy, cybersecurity, trust and safety, and content moderation programs designed to protect U.S. user data and the U.S. content ecosystem.

What you will do

• Build high-throughput evaluation engines for LLM and recommendation model outputs, benchmarking safety, bias, and accuracy.
• Develop automated monitoring frameworks to identify vulnerabilities in recommendation logic and model behavior.
• Architect governance-as-code metadata frameworks and control planes for ML pipelines, training data, and model weights.
• Develop millisecond-level safety filters and circuit breakers for real-time recommendation streams.
• Create observability and lineage platforms that make model decisions and algorithmic promotions traceable, auditable, and compliant.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related technical field.
• 2+ years of production-level software development experience with Go, Python, or C++.
• Experience with distributed systems and high-volume ML data pipelines such as Spark, Flink, or Kafka.
• Strong foundations in data structures, algorithms, machine learning, deep learning, optimization, and evaluation metrics.
• Ability to work in Seattle under a fully in-person schedule of up to five days per week.

Nice to have

• Experience in AI alignment, model interpretability, explainable AI, or adversarial machine learning.
• Familiarity with LLM evaluation frameworks, safety fine-tuning, RLHF, DPO, or prompt-injection defense.
• Knowledge of content recommendation systems, including two-tower models, deep ranking, and reinforcement learning.
• Proficiency in Go for backend infrastructure and Python/PyTorch for ML modeling and research.
• Experience translating legal and safety policies into scalable technical implementations.

Culture & Benefits

• Medical, dental, and vision insurance from day one.
• 401(k) savings plan with company match, paid parental leave, disability coverage, and life insurance.
• Wellbeing benefits, 10 paid holidays, 10 paid sick days, and 17 days of paid personal time with increasing accruals by tenure.
• Work in a safety-focused engineering environment addressing AI governance, privacy, cybersecurity, and trust and safety.
• Reasonable accommodations are available during the recruitment process.