Product Engineer (AI/ML), CS & TnS ML (AI/ML)

Location: Minato City, Tokyo, Japan; remote and hybrid workplace options; office in Roppongi.

Company

hirify.global operates a marketplace platform focused on circulating value and connecting people through technology.

What you will do

• Own machine learning problems end to end, from specification and measurable targets through delivery, maintenance, and production improvement.
• Design, train, and evaluate models using image, text, behavioral, tabular, and sequence data for item and comment moderation, transaction message moderation, customer auto-replies, and payment fraud prevention.
• Deploy reliable, low-latency real-time model services and build CI/CD, rollout, rollback, monitoring, and cost-control capabilities.
• Build offline evaluations, shadow runs, A/B tests, dashboards, and alerts to detect drift and quality regressions.
• Improve data and labels by working with moderators, customer reports, and labeling tools; identify label noise, bias, and gaps.
• Propose and deliver ML initiatives, respond to urgent incidents and policy changes, and contribute to data pipelines, backend services, infrastructure, and AI-assisted development.

Requirements

• Alignment with hirify.global Group’s mission and values.
• Proficiency in Python.
• Daily use of AI coding tools, including reviewing and verifying their output.
• Solid machine learning and deep learning foundations, with hands-on experience training, evaluating, and debugging models through work, research, or personal projects.
• Ability to learn quickly, take end-to-end ownership, and work beyond the boundaries of the immediate area of expertise.
• Strong written and verbal communication skills, including proposing ideas and aligning product, operations, and policy stakeholders.
• English proficiency at CEFR B2 and Japanese proficiency at CEFR A2 are required.

Nice to have

• 2+ years of professional experience in machine learning or software engineering, with models in production.
• Experience with computer vision, NLP including Japanese NLP, fraud or anomaly detection on tabular and sequence data, or agentic AI.
• Production model serving experience with Docker, Kubernetes, gRPC or REST, and latency optimization such as ONNX, TensorRT, or quantization.
• Experience with GCP, SQL, BigQuery, and ML pipelines such as Kubeflow, Vertex AI, or Apache Beam.
• Experience designing offline evaluations and A/B tests and monitoring production models.
• Knowledge of trust and safety, content moderation, or fraud prevention.
• Master’s or Ph.D. in a related technical field, or a habit of following and applying new research.

Culture & Benefits

• Full flextime with no core hours.
• Engineering principles emphasize product focus, growth together, mechanism-based problem solving, and open collaboration.
• Work includes collaboration with product, operations, policy, moderators, and customer-support stakeholders.

Hiring process

• Application screening, followed by an engineering skill assessment on HackerRank or GitHub.
• Interviews, with the number varying by position, followed by an online reference check around the final interview.
• Offers are determined based on the final interview and reference check; applicants must read and acknowledge the Privacy Policy before applying.