Senior Machine Learning Engineer

Seattle / Herndon / Remote

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Senior Machine Learning Engineer

About Us:

BlackSky is a geospatial intelligence solutions provider that enables organizations to task, collect, and transform data from earth observation, global sensor networks, mobile devices, and social media to deliver on-demand insights about places, events, and assets that are critical to their operations. Blacksky provides satellite collection, data, and cloud based -processing and analytic solutions to organizations that are capitalizing on the exponential growth of a wide range of sensor and collection platforms for delivering the next generation of GEOINT and location intelligence solutions. BlackSky has extensive expertise and capabilities in commercial remote sensing, multi-source analytics, cloud computing, open-source software development, Amazon Web Services, and big data geospatial analytics. BlackSky provides solutions to commercial and government organizations with relevant programs with the National Geospatial Intelligence Agency (NGA), US. Army, and U.S. Air Force Research Labs.

BlackSky is looking for a talented and creative Senior Machine Learning Engineer to support the development, operation, and capability evolution of Spectra AI, BlackSky’s cutting edge AI/ML Platform. As part of the machine learning team, you are instrumental in supporting the automated monitoring mission at BlackSky.  You will help ensure that Spectra AI produces consistent, reliable, and relevant analytics to BlackSky’s growing user base. The ideal candidate has AI model development, operations, and test experience; familiarity with national security use cases; and success working in an agile development environment. Additionally, the ideal candidate has demonstrated the ability to manage their own efforts over a broad scope of work as an independent contributor. Finally, the candidate should be an independent thinker with the demonstrated ability and willingness to lean in and solve new problems. This position reports to Analytics Manager in the AI/ML team.

While the locations listed in the job posting are ideal, we would love candidates near either our Herndon, VA or Seattle, WA offices. We may also consider remote candidates in certain states.

Responsibilities: 

  • Design and implement solutions for internal and external customers that exploit traditional machine learning and novel deep learning for next-generation satellite imagery analytics
  • Plan and conduct research projects related to computer vision, time series analysis, content curation, probabilistic modeling, machine learning, predictive analytics, and geometric modeling
  • Develop algorithms, models, and analytical tools for solving domain specific business problems
  • Implement production quality analytics and models into the SpectraAI codebase (Python)
  • Collaborate with management and technical team on product strategy
  • Collaborate with infrastructure developers and machine learning quality engineers to build robust analytics for production use cases
  • Other job-related duties as assigned.

Required Qualifications: 

  • At least three years of hands-on experience as a machine learning engineer or data scientist.
  • Bachelor’s Degree or higher in one of the following fields: computer science, mathematics, physics, statistics, or another computational field with a strong background of using machine learning/data mining for predictive modeling or time series analysis.
  • Hands on experience working with large data sets including data cleansing/transformation, statistical analyses, and visualization (using Python libraries such as Pandas, NumPy, etc.).
  • Working knowledge of a wide range of machine learning concepts including supervised and unsupervised deep learning methods for both classification and regression.
  • Extensive experience developing machine learning based software solutions. In particular, developing models in Python 3, NumPy, Scikit-Learn, Tensorflow, Keras, or PyTorch.
  • Experience performing research in both groups and as a solo effort with a history of implementing algorithms directly from research papers.
  • Strong ability to communicate concepts and analytical results with customers, management, and the technical team, highlighting actionable insights.
  • US Citizenship Required.     

Preferred Qualifications: 

  • Over five years of hands-on experience as a machine learning engineer or data scientist.
  • PhD./Master's degree in the previously mentioned fields.
  • Experience working with remote sensing data, ideally satellite imagery.
  • Experience with time series analysis including classical approaches and the recent state-of-the-art.
  • Experience working with geospatial data and geospatial Python libraries (GDAL, shapely, rasterio, etc)
  • Experience developing asynchronous processing algorithms and Cloud-based solutions (especially AWS services like EC2 & S3).

Life at BlackSky for full-time benefits-eligible employees includes:

  • BlackSky pays 100% of employee-only premiums for medical, dental, and vision, plus contributes $100/month for out-of-pocket expenses.
  • Total of 5 weeks of paid leave including PTO, holidays, volunteerism leave, and our shutdown between Christmas and New Year’s Day.
  • 401(k) pre-tax and Roth deferral options with employer match.
  • Professional development budgets.
  • Mac or PC? Your choice!
  • Awesome space swag.

BlackSky is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer All Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other characteristic protected by law.

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

EEO/AAP/ Pay Transparency Statements:

https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf

https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile AWS Big Data Classification Computer Science Computer Vision Data Mining Deep Learning EC2 Keras Machine Learning Mathematics ML models NumPy Pandas PhD Physics Predictive modeling Python PyTorch Research Scikit-learn Security Statistics TensorFlow

Perks/benefits: 401(k) matching Career development Health care Medical leave Team events

Regions: Remote/Anywhere North America
Country: United States
Job stats:  20  1  0

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