[Remote] Senior Software Engineer, Machine Learning at Planet

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Geospatial, Satellite Imaging, Aerospace, Data AnalyticsIndustries

Requirements

6+ years of relevant experience of which 5+ years of experience is in machine learning
Bachelor’s degree in Computer Science or similar
Deep familiarity with time series methods, computer vision, and embeddings; able to implement, train, and optimize neural networks
Data handling & preprocessing: Experience wrangling large datasets, ideally with geospatial libraries, combined with frameworks like PyTorch/TF for model development and training
Ability to experiment with model architectures, and derive data-driven insights to iteratively improve performance and accuracy using an analytical mindset
ML engineering experience: Comfortable writing clean, modular Python code and applying software development best practices (Git, testing, CI/CD)
Hands-on production expertise: Experience deploying models (via Docker, Kubernetes, or similar) and understand best practices for monitoring and maintaining them at scale
AWS or GCP experience
Excellent communication skills, capable of explaining technical topics to diverse audiences

Responsibilities

End-to-end model development & maintenance: Develop new algorithms or methods, implement and test them rigorously, and integrate them into production pipelines. Contribute to their ongoing maintenance and iteratively improve them
Advancing geospatial analytics: Innovate on computer vision, time series, and other ML techniques to uncover new insights from satellite and aerial data
Cross-functional collaboration: Partner with product managers, data scientists, and engineers to define requirements, validate model outputs, and refine algorithms in iterative cycles
Collaborating with adjacent ML and software engineering teams to ensure seamless integration of ML pre-processing and inference steps, defining best practices for efficient deployment and maintenance of geospatial models

Skills

Key technologies and capabilities for this role

Machine LearningDeep LearningComputer VisionTime SeriesGeospatial AnalyticsRemote SensingChange DetectionObject DetectionGenerative AISoftware EngineeringData Processing

Questions & Answers

Common questions about this position

Is this position remote or does it require office work?

This is a full-time, remote position based in the United States. If located near an office, you are expected to work from that office 3 days per week.

What experience is required for this Senior Software Engineer role?

Candidates need 6+ years of relevant experience, including 5+ years specifically in machine learning, and a Bachelor’s degree in Computer Science or similar.

What skills are needed for machine learning in this role?

The role requires deep expertise in implementing novel methods like deep learning for time series and computer vision, along with rigorous testing, validation, and deployment at scale.

What is the company culture like at Planet?

Planet has a people-centric approach toward culture and community, striving to iterate in a way that puts team members first and prepares the company for growth.

What makes a strong candidate for this machine learning engineer position?

Strong candidates will have 6+ years of experience with 5+ in machine learning, a relevant degree, and the ability to handle end-to-end model development, innovate in geospatial analytics like computer vision and time series, and collaborate cross-functionally.

Planet

High-resolution satellite imagery subscription service

About Planet

Planet captures high-resolution satellite images of the Earth using a fleet of small satellites called Doves. These satellites provide near-daily, detailed imagery across eight different bands, allowing clients to monitor environmental changes, manage resources, plan urban developments, and respond to disasters. The company operates on a subscription-based model, giving clients access to a vast library of images and data analytics tools. This approach ensures consistent revenue as clients require ongoing updates. Planet differentiates itself by offering customized solutions and educational resources through Planet School, helping users effectively utilize their platform. The goal of Planet is to be a leader in the geospatial intelligence market, providing valuable insights through frequent and detailed Earth observation.

San Francisco, CaliforniaHeadquarters

2010Year Founded

$617.1MTotal Funding

IPOCompany Stage

Data & Analytics, AerospaceIndustries

1,001-5,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Health Savings Account/Flexible Spending Account

Unlimited Paid Time Off

Paid Vacation

Paid Sick Leave

Paid Holidays

Sabbatical Leave

Remote Work Options

Wellness Program

Mental Health Support

Home Office Stipend

Phone/Internet Stipend

Tuition Reimbursement

Equity

Commuter Benefits

Volunteering Paid Time Off

Parental Leave

Risks

Increased competition from companies like Antaris threatens market share.

Recent layoffs may impact operational efficiency and innovation.

Expansion of partnerships may stretch resources, reducing service quality.

Differentiation

Planet operates the largest fleet of Earth-imaging satellites globally.

Their subscription model ensures continuous revenue from diverse sectors.

Planet's AI-driven analytics enhance satellite imagery insights significantly.

Upsides

AI-driven analytics can expand into agriculture and urban planning sectors.

Partnerships with platforms like UP42 enhance data offerings and capabilities.

Smart city management using satellite data offers new revenue streams.

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