Machine Learning Platform Engineer

Job overview

The Machine Learning Platform Engineer role is remote, described as 100% remote, with San Francisco, CA appearing in the listing. Compensation is not specified. The role supports AI engineers, researchers, and product engineers in bringing AI capabilities into production. The engineer builds and operates the infrastructure behind machine learning systems, enabling models to be trained, evaluated, deployed, monitored, and improved reliably and efficiently. The work helps teams experiment and deliver production-ready AI capabilities at scale.

What you'll do

• Build and operate machine learning infrastructure and platforms
• design systems for model training, evaluation, deployment, inference, and experimentation
• optimize model serving for throughput and latency
• develop data and model pipelines
• build evaluation and benchmarking tools
• implement observability, monitoring, tracing, and alerting
• identify performance bottlenecks
• and collaborate with AI engineers, researchers, and product teams.

What we're looking for

Skills & competencies

machine learning platform engineer

machine learning

artificial intelligence

remote

python

pytorch

jax

llm serving

distributed systems

gpu infrastructure

vector databases

60-minute coding assessment

Work arrangement

• Weekend coverage required

Benefits & perks

• Medical insurance, dental and vision coverage, savings plan options, and paid time off are mentioned.

Why this role

Machine learning and AI experience are required. The posting requires willingness to take a 60-minute coding assessment and lists Python, PyTorch, JAX, LLM serving infrastructure, cloud infrastructure, distributed systems, GPU tooling, and vector databases among the technologies.

About the employer

Parallel Partners is hiring for this role. Industry: Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology). Sector: 54.