Senior Machine Learning Engineer
Quick answer
Planet is hiring a Senior Machine Learning Engineer in Arlington, VA for a full-time, hybrid role with a salary range of $160,600—$200,800 USD.
- Role
- Senior Machine Learning Engineer
- Organization
- Planet
- Location
- Arlington, VA (hybrid role, 3 days per week in-office)
- Work setup
- Hybrid
- Level
- Senior
- Compensation
- $160,600—$200,800 USD
- Category
- Engineering & Technology
The role
Senior Machine Learning Engineer at Planet, working on novel geospatial and time series analytics for Defense and Intelligence applications.
What you'll do
- Spearhead the development of novel algorithms and machine learning models
- Optimize model performance for high-throughput inference
- Innovate computer vision, time series, and embeddings-based techniques
- Collaborate with product managers, data scientists, and engineers
- Integrate ML pre-processing and inference pipelines
- Establish best-in-class testing, validation, and monitoring frameworks
What it takes
- 10+ years of relevant experience
- Expertise with data science, time series methods, computer vision, and embeddings
- Experience with neural networks and large datasets
- Experience with Python and software development best practices
- Experience with AWS or GCP
- Excellent communication skills
What you'll bring
How we treat you
Comprehensive medical, dental, and vision plans, HSA with company contribution, generous PTO, 16 weeks of paid parental leave, wellness program, home office reimbursement, monthly phone and internet reimbursement, tuition reimbursement, equity, commuter benefits, volunteering paid time off
Frequently asked questions
Where is the job located?
Arlington, VA (hybrid role, 3 days per week in-office)
What is the compensation?
The US base salary range for this full-time position at the commencement of employment is $160,600—$200,800 USD.
What are the key qualifications required?
10+ years of relevant experience, expertise with data science, time series methods, computer vision, and embeddings, experience with neural networks and large datasets, experience with Python and software development best practices, experience with AWS or GCP, excellent communication skills
How do I apply?
Apply now on the job posting page.
How to apply
Apply directly on Planet's site. We link straight through — no resume parsing, no profile to fill out.
This listing is aggregated from a third-party source and its summary may be auto-generated, so details can be inaccurate or out of date. ForGood is not the employer and is not liable for the content — please verify everything on Planet's official posting before applying.