Software Engineer, ML Infrastructure
Serve Robotics119,000 - 160,000 USD/year
- Full Time
- Junior (1 to 2 years)
$175,000 – $280,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries
Requirements
Candidates should have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field and at least 5 years of experience in software engineering, focusing on ML infrastructure, distributed systems, or backend engineering. Proficiency in Python, C++, or another systems programming language is required, along with experience with ML frameworks such as TensorFlow, PyTorch, or JAX. Hands-on experience with cloud platforms like AWS, GCP, or Azure and containerization tools such as Docker and Kubernetes is necessary. Knowledge of hardware acceleration (TPUs, GPUs) and efficient model deployment strategies is also essential.
Responsibilities
As a Software Engineer in ML Infrastructure, you will design, build, and optimize scalable ML infrastructure to support the training, evaluation, and deployment of AI models. You will develop and maintain data pipelines for large-scale machine learning workflows and implement efficient model-serving architectures for real-time inference. Collaboration with ML engineers and researchers will be crucial to improve model performance and deployment efficiency, and you will also build monitoring and observability tools to ensure system reliability and performance.
Skills
Python
C++
TensorFlow
PyTorch
JAX
AWS
GCP
Azure
Docker
Kubernetes
TPUs
GPUs
Distributed Computing
Data Pipelines
Model-Serving Architectures
Sesame
Telehealth platform connecting patients with doctors
About Sesame
Sesame Care connects patients with doctors and specialists through a telehealth platform, primarily serving clients in various states across the U.S. The platform allows patients to book online appointments for services like urgent care, prescription refills, dermatology, mental health, and general doctor visits. By enabling independent clinicians to use its platform, Sesame Care reduces overhead costs and offers competitive pricing, often lower than traditional healthcare providers. Additionally, Sesame partners with Quest Diagnostics to provide affordable lab services, creating a comprehensive healthcare solution. The company operates on a direct-pay model, where patients pay for services upfront, ensuring transparency and prompt payments for healthcare providers. Sesame Care's goal is to make healthcare more affordable and accessible, simplifying the process for patients to receive quality care.
Key Metrics
New York City, New YorkHeadquarters
2018Year Founded
$74MTotal Funding
SERIES_BCompany Stage
HealthcareIndustries
51-200Employees