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Remote Algorithm Engineer Jobs in California (NOW HIRING)

Cellanome

Machine Learning Engineer

San Diego, CA · On-site +1

$160K - $215K/yr

Possibility for Remote. Key Responsibilities: * Design, develop, and optimize advanced algorithms ... Strong programming skills in Python with experience developing production-quality, maintainable ...

Code Metal

Forward Deployed Engineer

San Francisco, CA · On-site +1

The Role Code Metal operates at the intersection of advanced algorithms and specialized hardware ... Flexible hybrid or remote work, with significant travel (30-75%) for deployments * Relocation ...

Code Metal

Forward Deployed Engineer

San Francisco, CA · On-site +1

The Role Code Metal operates at the intersection of advanced algorithms and specialized hardware ... Flexible hybrid or remote work, with significant travel (30-75%) for deployments * Relocation ...

Jitx Inc.

Senior Software Engineer

Berkeley, CA · On-site +1

$150K - $197.70K/yr

You'll work on hard computational problems, from design automation algorithms to real-time ... Architected to support headless and remote. We may use artificial intelligence (AI) tools to ...

JITX

Senior Software Engineer

Berkeley, CA · On-site +1

$150K - $250K/yr

You'll work on hard computational problems, from design automation algorithms to real-time ... Architected to support headless and remote. $150,000 - $250,000 a year We may use artificial ...

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Remote Algorithm Engineer information

What are the key skills and qualifications needed to thrive as a Remote Algorithm Engineer, and why are they important?

To thrive as a Remote Algorithm Engineer, you need a strong background in computer science, mathematics, and algorithm design, often supported by a relevant degree. Proficiency in programming languages such as Python, C++, or Java, and experience with version control systems and cloud-based collaboration tools are typically required. Strong problem-solving abilities, self-motivation, and clear communication skills are essential for excelling in a remote environment. These skills ensure the engineer can develop efficient solutions, collaborate effectively with distributed teams, and deliver high-quality work independently.

What are some common challenges faced by Remote Algorithm Engineers, and how can they be addressed?

Remote Algorithm Engineers often face challenges such as effective communication with distributed teams, managing their own schedules, and ensuring seamless integration of their work with larger systems. To address these, it's important to leverage collaborative tools (like code repositories, project management platforms, and video conferencing), maintain clear and regular communication with colleagues, and participate in code reviews and design discussions. Establishing a structured routine and proactively seeking feedback can also help in staying aligned with project goals and team expectations.

What is a Remote Algorithm Engineer?

A Remote Algorithm Engineer is a professional who designs, develops, and optimizes algorithms for various applications, such as data analysis, machine learning, or software development, while working from a remote location. This role involves solving complex problems, collaborating with team members online, and implementing efficient solutions to improve system performance. Remote Algorithm Engineers often work in industries like technology, finance, healthcare, and more, utilizing programming languages and mathematical concepts to create effective algorithms.
What are the most commonly searched types of Algorithm Engineer jobs in California? The most popular types of Algorithm Engineer jobs in California are:
What are popular job titles related to Remote Algorithm Engineer jobs in California? For Remote Algorithm Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Algorithm Engineer jobs in California look for? The top searched job categories for Remote Algorithm Engineer jobs in California are:
What cities in California are hiring for Remote Algorithm Engineer jobs? Cities in California with the most Remote Algorithm Engineer job openings:
Remote Algorithm Engineer jobs near you
Staff Software Engineer - Computer Vision

Staff Software Engineer - Computer Vision

Array Labs

Redwood City, CA • On-site, Remote

$150K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 14 days ago

Job description

About Us

Array Labs is building a new way to understand the physical world.

Today, most geospatial systems are built around flat imagery, incomplete elevation models, slow refresh cycles, or narrow-area surveys. The world increasingly needs something better: accurate, frequently updated 3D information about the places, infrastructure, terrain, and activity that shape human decisions.

Array is building that system. We are developing a coordinated fleet of radar satellites designed to create high-resolution 3D data products of the Earth at unprecedented scale, speed, and reliability. Our technology is built to work across wide areas, through clouds, day and night, and to support both commercial and government customers operating in environments where timely physical-world understanding matters.

We design and build our satellites, radar payloads, sensing systems, and data products end-to-end. Our goal is to make 3D geospatial intelligence dramatically more accessible, useful, and operationally relevant for customers in mapping, infrastructure, disaster response, defense, intelligence, energy, telecommunications, mining, and other industries that depend on understanding the changing Earth.

 
About the Job
As a Staff Software Engineer for Computer Vision, you will develop and deploy across all of Array's 3D processing capabilities, including our photogrammetry and radar reconstruction pipelines. The work spans computer vision algorithms and production engineering: you should be equally comfortable reading a paper about unfamiliar algorithms, and shipping new capabilities as production-quality software. The position will work closely with 3D reconstruction scientists, radar algorithms engineers, and product engineers.
Responsibilities
  • Productionize and continuously improve Array's photogrammetry and radar image formation pipelines using industry best practices.
  • Step into individual pipeline stages - bundle adjustment, dense matching, point cloud generation, geometric refinement, geo-referencing - to improve accuracy, robustness, and throughput.
  • Develop and optimize database schemas and storage solutions for managing large-scale 3D geospatial data.
  • Contribute to broader software engineering efforts across the company, including data infrastructure, analytics, and systems to deliver our satellite data to customers.
Basic Qualifications
  • 5+ years of software engineering experience, with a substantial portion focused on computer vision.
  • Strong proficiency in Python and C++, experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (e.g. Docker, Kubernetes).
  • Strong foundation in geometric computer vision, spanning camera modeling, epipolar geometry, and multi-view reconstruction pipelines (stereo, SfM, MVS, bundle adjustment).
  • Excellent communicator, with the ability to make high-quality technical decisions in a startup environment.
Preferred Skills & Experience
  • Experience with geospatial concepts, remote sensing data, or robotics/autonomous vehicle sensor data
  • Familiarity with digital signal processing, radar algorithms, or SAR concepts
  • Familiarity with deep learning approaches to 3D vision (e.g. NeRF, 3D Gaussian Splatting, learned feature matching, or depth estimation)
  • Experience with C++ or CUDA for performance optimization
  • Ability to build visualization tools for geospatial or 3D data (Cesium, Three.js, or similar)
$150,000 - $300,000 a year
Compensation & Benefits
Our hiring and compensation strategy is simple: find uncommonly good people and pay them uncommonly well.
 
We offer high flexibility between salary and equity-based compensation. Final candidates can choose from three compensation mixes: low, medium, or high equity. Equity is a significant component of total compensation, and we aim to provide meaningful ownership for this role.
 
Full-time employees also enjoy a comprehensive benefits package including health, dental, vision, a 401(k) with company match, commuter benefits, and more.
 
 
Interview Process
We will conduct interviews via Google Meet with the potential for an onsite visit; the typical process takes around 3-5 weeks to complete from start to finish.
 
 
Why Join Array
At Array Labs, deep technical expertise meets relentless impact. We prioritize curiosity over hierarchy and bold engineering over incremental gains. Our world-class team across hardware engineering, software, and aerospace works collaboratively to push boundaries and move fast.
 
Our values:
  1. Build What Matters: Create technology that serves customers and advances humanity
  2. Innovate Together: Stay curious, collaborate openly, push boundaries as one team
  3. Employee Centric: Put our people first with a culture of trust, respect, and opportunity
  4. Join industry-leading experts to deliver unprecedented insights about our planet and build the future of Earth observation.
 
ITAR Requirements
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.
 
Equal Opportunity Employer
Array Labs is an Equal Opportunity Employer. Employment decisions are made on the basis of merit, competence, and job qualifications and will not be influenced in any manner by gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, mental or physical disability or any other legally protected status.
 
If you require a reasonable accommodation during the application or interview process, please let us know.
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