Machine Learning Engineer

Salary Range: 110000 to 160000 (Currency: USD) (Pay period: per-year-salary)

As a Machine Learning Engineer your responsibilities will include:

• Setting up Machine Learning infrastructure including, model repositories, experiment tracking, workflow orchestration (Prefect, Airflow, Dagster) 
• Optimizing resources for both development and production in the cloudDeploying models for both batch and online inference
• Establish model monitoring, model registries, experiment tracking, CI/CD, and continuous training 
• Role will initially be focused on setting up MLOps and then grow into researching, developing, debugging, and deploying models to production using our hyperspectral data

Basic qualifications:

• 3+ years postgraduate experience as a MLEBS, MS, or PhD in Computer Science, Engineering, Physics, Mathematics or similar.
• Python, Pytorch, Weights and Biases, ML Flow, DVC, Ray, Dask, data science stack
• Experience with deploying and monitoring models in clouds environments (AWS)
• Ability to work independently as well as collaboratively in a startup environment
• Comfortable with rapid decision-making and taking ownership of system design
• Excellent written and oral communication skills

Standout candidates will have:

• Experience in machine learning for remote sensing data,, hyperspectral data and Geospatial data
• Familiarity with common remote sensing data types and tools, GeoTiffs, GDAL rasterio, xarray, ENVI

Benefits of working at OSK:

• We offer competitive compensation and equity packages
• Company-sponsored 401K, as well as medical, dental, and vision insurance with 100% premiums covered by OSK for employees and 50% for dependents