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Remote Full Stack Ruby Developer Jobs in Pennsylvania

General Motors

Senior AI/ML Engineer

Harrisburg, PA · On-site +1

$103K - $141K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... We own a modern full-stack architecture including TypeScript/React, Python, GraphQL, Golang , and ...

Agilent

$143K - $224K/yr

... and full-stack engineering support. The position supports critical delivery pipelines and helps ... Ruby on Rails * Familiarity with: * Event-driven architecture (Kafka, messaging systems) * NoSQL ...

Lockheed Martin

DevOps Engneer

King Of Prussia, PA · Remote

$51.50 - $70.50/hr

... Full-Stack Ownership: Develop end-to-end features, from building responsive React/Next.js front ... What's In It For You From onsite to remote, we offer flexible work schedules to comprehensive ...

Huntington

Sr. Innovation Software Engineer

Pittsburgh, PA · On-site +1

$118K - $156K/yr

This role requires strong hands-on full-stack engineering skills, experience building AI integrated ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Sr. Innovation Software Engineer

Pittsburgh, PA · On-site +1

$118K - $156K/yr

This role requires strong hands-on full-stack engineering skills, experience building AI integrated ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Remote Full Stack Ruby Developer information

What are the key skills and qualifications needed to thrive as a Remote Full Stack Ruby Developer, and why are they important?

To thrive as a Remote Full Stack Ruby Developer, you need a strong command of Ruby on Rails, JavaScript, front-end frameworks (like React or Vue.js), and database management, typically supported by a degree in computer science or equivalent experience. Familiarity with version control systems (such as Git), cloud platforms, continuous integration tools, and testing frameworks is essential. Excellent problem-solving, communication, and self-management skills help you collaborate effectively and deliver results in a remote environment. These skills ensure you can build, maintain, and scale robust web applications while working independently and efficiently across distributed teams.

What are some common challenges faced by Remote Full Stack Ruby Developers, and how can they be effectively managed?

Remote Full Stack Ruby Developers often face challenges such as maintaining effective communication with distributed teams, managing time zone differences, and staying updated with both backend (Ruby/Rails) and frontend technologies. To overcome these, developers typically rely on clear documentation, regular virtual meetings, and collaboration tools like Slack or Jira. Staying organized and proactive in seeking feedback also helps ensure project alignment and smooth workflow in a remote environment.

What is a Remote Full Stack Ruby Developer?

A Remote Full Stack Ruby Developer is a software engineer who specializes in both front-end and back-end development using the Ruby programming language, typically with frameworks like Ruby on Rails. They are capable of designing, building, and maintaining web applications, handling everything from user interface to database management. Working remotely, they collaborate with teams online, using communication and project management tools to contribute to projects from any location. Their role often requires proficiency in JavaScript, HTML, CSS, and databases alongside Ruby, making them versatile assets for tech companies seeking flexible talent.
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Remote Full Stack Ruby Developer jobs near you

Staff Software Engineer, ML Platform

Stack AV

Pittsburgh, PA • On-site, Remote

Full-time

Posted 23 days ago

Job description

About Stack:
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
About the Role:
In the ML Data Understanding team, our mission is to provide trusted and useful data to efficiently power all of Stack's ML applications end-to-end from mining to training to safety evaluation. We work hand in hand with AV autonomy teams to provide cutting edge solutions to all their data needs, working across data engineering, mining, modeling and infrastructure. In particular, we provide services to find (data mining), curate (datasets), annotate (data labeling), search and serve (high throughput data access) data for all ML needs.
  • Data Mining: We are building a framework and infrastructure to find interesting events quickly and flexibly. As part of this mission, you would be setting the direction for and helping us build an inference service using LLMs, open-world models and vector databases.
  • Semantic Search for Data Mining: We are building the infrastructure of a highly scalable semantic search service for multimodal data to find interesting events quickly and flexibly. As part of this mission, you would be setting the direction for and helping us build an inference service using the latest AI models & approaches.
  • Dataset management for training: We are building state of the art infrastructure to support machine learning training and inference workloads using OSS components such as Ray, Spark, Lance and Iceberg.

Responsibilities:
  • Build state-of-art multimodal data mining and semantic search solutions to power AV product development.
  • Develop data understanding platform infrastructure for real-time querying/vector databases and batch/stream processing using technologies like Ray, Spark, Lance, or similar.
  • Deliver end-to-end data mining solutions that span onboard (C++) and offboard (ML & Data Infra) infrastructure to accelerate AV product development.
  • Develop e2e solution for real-time semantic search services (text/images/videos) and vector DBs.
  • Discover and identify key issues in existing ML infra and proactively improve system performance.
  • Build low latency/high throughput batch or stream processing pipelines.
  • Drive technical discussions across multiple orgs and deliver solutions on a timely basis.
  • Architect and tune ETL pipelines to maximize GPU/CPU/Ram utilization.
  • Write readable and high-performance Python/C++ code.

Qualifications:
  • Experience with both ML platforms and building ML-based applications (modeling experience is a bonus).
  • Proven track record of building scalable, reliable infrastructure in a fast-paced environment.
  • Ability to collaborate effectively across teams.
  • Experience building or using ML infrastructure for a large number of customer teams.
  • Deep understanding of design trade-offs with the ability to articulate those trade-offs and achieve alignment with others.
  • Experience in building ML models or infrastructure in domains such as autonomous vehicles, perception, and decision-making (desirable but not required).
  • Experience with model training, model optimization, or large data processing pipelines.
  • Prior experience in autonomous vehicles (AV) is a plus.
  • 6+ years of experience with:
    • Multimodal data indexing and inference pipelines.
    • Building semantic search service, embedding generation for video/images and vector DB.
    • Large scale ML pipelines (Airflow/Flyte) and model optimization.

We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
Check out our Privacy Policy.
Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV's ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate's residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate's residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate's application.

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