Senior ML/Gen AI Engineer (AI)

TL;DR

Senior ML/Gen AI Engineer (AI): Productizing and scaling ML models, designing and owning large-scale distributed machine learning systems with an accent on MLOps practices and infrastructure-as-code. Focus on driving high-impact engineering decisions for ML platforms and applications, and ensuring scalability, observability, and fault-tolerance across the ML stack.

Location: The position is based in San Jose, California, United States, with a flexible work model. Work authorization in the US is required, as the employer participates in E-Verify.

Salary: $199,000.00–$278,500.00, with potential to increase up to $318,500.00.

Company

hirify.global designs cutting-edge tech to make travel smoother and more memorable, and creates groundbreaking solutions for its partners.

What you will do

• Collaborate closely with ML Scientists to productize and scale ML models from experimentation to robust production systems.
• Design, build, and own large-scale, distributed machine learning systems for training, deployment, inference, and monitoring.
• Lead design discussions and architecture reviews; drive high-impact engineering decisions for ML platforms and applications.
• Mentor and coach junior engineers and peers on best practices in ML engineering, system design, and code quality.
• Develop and maintain reusable components, libraries, and tools to accelerate ML development lifecycle.
• Ensure scalability, observability, and fault-tolerance across all components of the ML stack.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 8+ years of experience in software/ML engineering with a proven track record of delivering ML solutions at scale.
• Strong programming skills in Python, Scala, or Java.
• Deep experience in building and maintaining production-grade ML pipelines and infrastructure.
• Expertise in MLOps practices, including model lifecycle management, versioning, monitoring, and CI/CD for ML.
• Experience with big data ecosystems (e.g., Spark, Hive, Databricks, Delta Lake) and streaming technologies.
• Proficient in working with ML frameworks like TensorFlow, PyTorch, XGBoost, or similar.
• Experience working in cloud-based environments (AWS, GCP, or Azure) and with infrastructure-as-code tools.
• Hands-on experience with orchestration tools like Flyte, Airflow, Kubeflow, etc.
• Proficient in containerization and orchestration technologies like Docker and Kubernetes.

Nice to have

• Familiarity with advanced ML techniques, including deep learning, NLP, recommendation systems, and generative AI.
• Experience designing or implementing multi-agent architectures for autonomous collaboration and decision-making.
• Understanding of agent planning, memory, tool use, and self-reflection mechanisms.

Culture & Benefits

• Full benefits package including exciting travel perks, generous time-off, and parental leave.
• Flexible work model and career development resources.
• Wellness & travel reimbursement and travel discounts.
• An open culture where everyone belongs, celebrating differences.
• Commitment to creating an inclusive work environment with a diverse workforce.

Hiring process

• If you need assistance with any part of the application or recruiting process due to a disability, you can reach out to the Recruiting Accommodations Team.
• Employment opportunities and job offers at hirify.global will always come from hirify.global’s Talent Acquisition and hiring teams.
• Do not provide sensitive, personal information to someone unless you’re confident who the recipient is.