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Senior Software Engineer Machine Learning

Hivemapper San Francisco, CA, USA

Live

$90k - $100k · Senior Full-time Posted almost 2 years ago 3 min read

Hivemapper is a decentralized map built by people using their dashcam and smartphone. It represents a fundamental shift in how maps are built. Forward looking businesses use our Map API. Our broad customer base spans enterprise tech, mapping and navigation, transportation and logistics, insurance and real estate, etc.

Our work is fast-paced, collaborative, and cross-disciplinary. We focus on solving hard problems, and we invest in our rapidly growing team and tech to do so.

Leveling

We are actively looking for engineers with different levels of experience, and we will work together to find the right role for your next challenge.

Research & Development Team

The R&D team is responsible for bringing - or inventing - state of the art methods from computer vision, machine learning, 3D reconstruction, and data science to our massive imagery network. This includes developing systems for detection, localization, semantic understanding, 3D reconstruction, complex optimization, etc.

We run code on massive processing clusters, as well as at the edge on smart phones and embedded devices.

Hivemapper is currently in alpha mode and already generating billions of frames of 4k street level imagery across 3 continents. We have an internal data QA team who are available for ad-hoc data annotation and qualitative feedback, as well as large scale relationships with high quality data labeling shops.

Responsibilities

Keeping up to date with the state-of-the-art Machine Learning developments, and working to integrate them into our solutions
Analyzing how existing models perform on different scales of locality (global, country, region, urban, suburban, rural, etc.) and working to improve them at large scale
Working with teams all over the company to design and develop novel solutions to hard problems
Publishing novel research, supporting open source initiatives, and presenting at conferences
Helping to foster excellence across R&D

Qualifications

Experience using machine learning in large-scale production environments
Experience building systems that process large volumes of data
Experience or interest in using the following: AWS, Typescript, Python, TensorFlow, PyTorch, Rust, ECS, Kubernetes, C++, GPGPU
Strong math and analytical skills
You are always interested in new challenges and are comfortable learning new technologies.

What we offer

Medical, dental, and vision benefits including FSA
Family leave
401(k) program
Unlimited Flex PTO
Paid lunch
Commuter benefits

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Hivemapper, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Note to Recruitment Agencies: Hivemapper does not accept unsolicited agency resumes. Furthermore, Hivemapper does not pay placement fees for candidates submitted by any agency other than its approved partners.

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No agency in the middle · Your profile is shared privately.

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Is Kubernetes high demand?

▼

Yes, Kubernetes is currently in high demand in the technology industry

Kubernetes is an open-source container orchestration platform that is widely used for deploying, scaling, and managing containerized applications

It provides a standardized way to manage and automate the deployment of containerized applications across multiple hosts and provides benefits such as reliability, scalability, and flexibility

As more and more organizations move towards containerized architectures, Kubernetes has become a critical component of their infrastructure

Kubernetes is used by companies of all sizes, from startups to large enterprises, and across various industries, including finance, healthcare, and e-commerce

According to various job market and salary surveys, Kubernetes-related skills are in high demand, and job positions related to Kubernetes are growing at a rapid pace

In fact, Kubernetes is often listed as one of the top skills that are in high demand by technology companies

Overall, Kubernetes is a highly sought-after skill in the technology industry, and it's likely to remain in high demand in the foreseeable future as more and more organizations adopt containerization and cloud-native architectures.

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