Description
Space is in our DNA. Orbital Sidekick (OSK) has a mission to leverage the untapped power of hyperspectral imagery (HSI) to address global environmental, health, and safety needs while helping companies reach their sustainability goals. Orbital Sidekick is establishing a space-based infrastructure of HSI sensors and analytic capabilities to enable real-time monitoring, detection, and risk management.
We’re looking for a Machine Learning Engineer who will build out and design machine learning infrastructure for a team of data & remote sensing scientists, working collaboratively with the Analytics and Software teams to deliver data-driven products and solutions. If you are a smart-creative individual seeking to innovate and produce real, tangible value; take ownership of your role and position within a cutting edge tech company; and inform the future vision of an up-and-coming San Francisco start-up, you’ll fit right in.
You will contribute to a cross-functional team that is responsible for the full algorithm development process, all the way from human annotation to integration with the platform. Your role as Machine Learning Engineer means that you will be responsible for owning infrastructure for experiment tracking, model training/inference, dataset version control, and imagery annotation campaign creation and data extraction. You will work collaboratively within the company to produce high-level engineering of both the data collection and information delivery platforms.
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
ITAR Requirements: U.S. Government space technologies export/ITAR regulations apply here, applicant must be a U.S.citizen or a lawful permanent resident of the U.S., or eligible to obtain the required authorizations from the U.S. Department of State.
Orbital Sidekick is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. We are an equal opportunity employer committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, age, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.
Other Jobs from Orbital Sidekick
Senior Ground Software Operations Engineer
Remote
San Francisco, CA
Senior Software Engineer (Cloud)
Remote
San Francisco, CA
Senior Geospatial Software Engineer
Remote
San Francisco, CA
Space Operations Engineer (Embedded Software)
San Francisco, CA
Similar Jobs
Senior Clinical Data Analyst
Remote
US
Software Engineer (AI Core)
Remote
Principal Software Engineer-distributed training system
Beijing, China
Software Engineer 2
Hyderabad, India
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 401 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- We've got about 70,000 jobs from 5,000 vetted companies. No fake or sleazy jobs here!
- We aggregate jobs from 5,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
- We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
- Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
- Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
- Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅
What Fellow Engineers Say