Staff Machine Learning Engineer (AI)

Location: Seattle, USA; onsite interview or virtual onsite interview available

Salary: $164,000–$282,000 per year base pay, depending on market location, skills, knowledge, and experience.

Company

hirify.global is a fast-growing global public e-commerce company building commerce and advertising products, with a startup culture and large-company resources.

What you will do

• Design and build machine learning models and systems for ad targeting, ranking, bidding, and campaign performance across the Offsite Ads platform.
• Develop large-scale prediction and optimization models for CTR, CVR, GMV, and bidding.
• Apply LLMs, embeddings, agentic AI, deep learning, and other modern AI technologies to advertising problems.
• Build scalable ML infrastructure and production systems for experimentation and reliable model deployment.
• Define success metrics, evaluate business impact, and improve model performance through data-driven experimentation.
• Partner with Product, Engineering, Data Science, and business teams while mentoring engineers and driving initiatives from concept to production.

Requirements

• Bachelor’s degree in computer science, machine learning, statistics, mathematics, electrical engineering, or a related quantitative field.
• 6+ years of industry experience developing and deploying production machine learning solutions.
• Strong foundation in machine learning, deep learning, statistical modeling, optimization, and large-scale data systems.
• Production-grade ML development experience with Python and/or Java, plus strong PyTorch experience.
• Experience with prediction, ranking, recommendation, retrieval, or optimization problems and ownership of large technical initiatives.
• Role location: Seattle, USA.

Nice to have

• Master’s degree or PhD in a relevant technical field.
• Experience in digital advertising, recommendation systems, ranking systems, marketplace optimization, or large-scale machine learning.
• Experience with LLMs, generative AI, embedding models, retrieval systems, agentic AI, distributed training, model serving, or cloud ML platforms.
• Familiarity with XGBoost, LightGBM, Scikit-learn, MLflow, Kubeflow, Spark, and Airflow.

Culture & Benefits

• Fast-paced, high-growth environment with strong ownership, customer focus, and opportunities to drive new initiatives.
• Annual bonus of 0–20% of base salary.
• Medical, dental, vision, life, AD&D, disability, FSA, HSA, and employee assistance program benefits.
• 401(k) plan with company match, 18–21 days of paid time off, 12 public holidays, and six weeks of paid parental leave.
• Pre-tax commuter benefits and free electric vehicle charging station.

Hiring process

• Application review, phone interview, onsite or virtual onsite interview, and offer.
• Interview scheduling and results are communicated by email; the process may vary by role and circumstances.