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Machine Learning Engineer: ML Infra and Model Optimization image - Rise Careers
Job details

Machine Learning Engineer: ML Infra and Model Optimization

Genies builds avatar technology and AI companions that power interactive digital identity. We are seeking an ML Infra and Model Optimization Engineer to join our R&D team in Los Angeles (or San Francisco) to design, deploy, and optimize production-grade ML infrastructure for image and 3D generative models, enabling scalable, low-latency inference and rapid experimentation.

Skills

  • Strong backend and infrastructure experience in production.
  • Proficiency in Python and API/service frameworks (FastAPI, Flask, gRPC).
  • Hands-on experience deploying and operating GPU-based inference services at scale.
  • Concurrency handling, request batching, and latency/throughput optimization.
  • Experience with cloud ML stacks (AWS SageMaker/EC2/EKS, GCP) and containerization (Docker, Kubernetes).
  • Familiarity with CI/CD pipelines, monitoring, and reliability engineering.
  • Systems performance profiling, debugging, and optimization skills.

Responsibilities

  • Design, build, and maintain production-grade ML infrastructure for image and 3D generative models.
  • Develop and own backend services and APIs that support high-concurrency, low-latency model inference.
  • Deploy, monitor, and operate ML models on cloud and large-scale platforms (e.g., SageMaker, Kubernetes, Ray Serve).
  • Optimize inference pipelines via quantization, pruning, mixed precision, ONNX/TensorRT, and other acceleration techniques.
  • Partner with ML researchers to productionize diffusion, transformer, and 3D generation models.
  • Implement evaluation, logging, monitoring, and alerting to ensure reliability and performance.
  • Improve end-to-end system efficiency across data loading, inference, post-processing, and storage.
  • Support rapid experimentation while enforcing production safety, scalability, and observability.

Education

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Benefits

  • Comprehensive health insurance (Anthem and Kaiser options), dental and vision
  • Flexible paid time off, sick time, company holidays, and parental leave
  • Paid bereavement and jury duty leave
  • Monthly wellness reimbursement and health & wellness programs
  • Professional development support and career growth opportunities
  • Modern, open office environment with hybrid work flexibility
  • Choice of MacBook or Windows laptop
To read the complete job description, please click on the ‘Apply’ button

Average salary estimate

$245000 / YEARLY (est.)
min
max
$215000K
$275000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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MATCH
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FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
No info
HQ LOCATION
No info
SALARY RANGE
$215,000/yr - $275,000/yr
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
January 8, 2026
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