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Temporary Software Engineer Reddit Jobs in Washington

USM

UI Software Engineer-----Need GC,USC,GC-EAD

Reston, VA

$108K - $144K/yr

USM is recognized as one of the fastest growing IT Temporary Staffing firms in the US and most ... Hands-on engineer in designing and development of software solutions and software requirements ...

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What does a temporary software engineer at Reddit do?

A Temporary Software Engineer at Reddit works on short-term projects or fills in for permanent staff, typically focusing on software development tasks such as coding, debugging, testing, and maintaining Reddit’s platform or services. They collaborate with cross-functional teams to deliver features, fix bugs, and support ongoing engineering needs. As a temporary role, their assignments are usually project-based or time-limited, but they are expected to uphold the same coding standards and best practices as full-time engineers.

What skills and qualifications are needed to thrive as a temporary software engineer at Reddit?

To thrive as a Temporary Software Engineer at Reddit, you need strong programming skills (such as Python, Java, or Go), a solid understanding of software development principles, and typically a degree in computer science or related field. Familiarity with tools like Git, CI/CD pipelines, cloud platforms (AWS or GCP), and Reddit's technology stack is often required. Excellent problem-solving abilities, adaptability, and effective communication help you integrate quickly and contribute as part of a dynamic team. These skills ensure you can deliver quality code efficiently, adapt to changing priorities, and support Reddit's fast-paced development environment.

What types of projects and collaborations can a temporary software engineer at Reddit expect during their contract?

As a Temporary Software Engineer at Reddit, you can expect to work on focused, high-impact projects that align with the platform's immediate engineering needs. This often includes contributing to new feature rollouts, bug fixes, or infrastructure improvements under tight timelines. You'll collaborate closely with permanent engineers, product managers, and designers, participating in agile sprints and regular team meetings. The environment is fast-paced, and clear communication is essential to quickly integrate with the team and deliver results. While your contract may be short-term, the experience offers valuable exposure to Reddit’s codebase and development practices.

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Temporary Software Engineer Reddit jobs near you

Senior Software Engineer, Perception (R5420)

Shield AI

Washington, DC • On-site

$163K - $244K/yr

Full-time

Posted 24 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities.
 

In this role, you'll develop and deploy advanced machine learning models that solve real-world perception challenges for autonomous systems. You'll own major features from model development through deployment, working closely with machine learning researchers, perception engineers, autonomy engineers, and platform teams to bring cutting-edge AI capabilities into production. This is an ideal opportunity for engineers who enjoy solving difficult perception problems while building reliable, production-ready ML systems that operate on autonomous platforms in complex operational environments.

What You'll Do:

Model Development - Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems. 

Data Pipelines & Model Training - Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks. 

Model Deployment & Optimization - Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks. 

Perception & Autonomy Applications - Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments. 

Research-to-Production - Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability. 

Cross-functional Collaboration - Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems. 

Model Evaluation & Validation - Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements. 

Continuous Improvement - Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery. 

Required Qualifications:

  • Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 4 years and a Master's degree; or 2 years with a PhD; or equivalent work experience.

  • Prioficiency of machine learning fundamentals. 

  • Experience training an deploying ML models for computer vision in a production setting. 

  • Strong understanding of 3D vision problems/algorithms. 

  • Experience with machine learning frameworks such as PyTorch and TensorFlow. 

  • Demonstrated expertise in deploying models using TensorRT and ONNX. 

  • Proficiency in C++ and Python. 

  • Strong analytical and problem-solving skills, with the ability to translate research into practical applications. 

  • Ability to obtain a SECRET clearance 
Preferred Qualifications:

  • Experience with developing autonomous systems for defense customers. 

  • Experience with training/finetuning vision-language models, vision-language-action models, and/or world models.  

  • Contributions to open-source projects in machine learning or computer vision. 

  • Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA).

$163,200 - $244,800 a year
#LI-DS-1
#LC

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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