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Remote Computer Science Fresh Graduate Jobs in Seattle, WA

iSpot

Data Scientist

Bellevue, WA · On-site +1

$112K - $142K/yr

... graduate coursework in: * Probability and Statistics for Data Science * Computational Linear ... remote at a home office located anywhere in the U.S. If you don't feel you met every single ...

DocuSign

Principal Software Engineer

Seattle, WA · On-site +1

$153K - $206K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... What you bring Basic * BA/BS in Computer Science, Electrical Engineering, Informatics, or ...

DocuSign

Director, Software Engineering

Seattle, WA · On-site +1

$202K - $299K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Bachelor's degree in Computer Science, Engineering, or a related technical field * 12+ years of ...

DocuSign

Software Engineer Intern

Seattle, WA · On-site +1

$39 - $45/hr

Employee divides their time between in-office and remote work. Access to an office location is ... Currently pursuing a bachelors degree in Computer Science, Computer Engineering, or Information ...

DevSelect

Senior Software Developer/ReactJS

Seattle, WA · Remote

$62 - $82/hr

Seattle, WA - Remote Openings:5 Type: Long-Term Contract The Client is looking for an experienced ... Preferred degree in Computer Science, Information Technology or equivalent real world enterprise ...

DocuSign

Software Engineer Intern

Seattle, WA · On-site +1

$39 - $45/hr

Employee divides their time between in-office and remote work. Access to an office location is ... Currently pursuing a bachelors degree in Computer Science, Computer Engineering, or Information ...

Alignerr

Machine Learning Engineer

Seattle, WA · Remote

Comfortable working independently and asynchronously in a remote environment Nice to Have * Master's degree or PhD in Machine Learning, Computer Science, Engineering, or a related field * Prior ...

Waymo

System Safety Engineer - Onboard

Kirkland, WA · On-site +1

$196K - $248K/yr

Bachelor of Science in Computer Engineering, Computer Science, or related technical fields * Strong ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Diverse Lynx

Software Engineer III

Bellevue, WA · On-site +1

$130K/yr

... for remote work options. Key Responsibilities: Design, develop, and implement AI solutions to ... Bachelor's degree in Computer Science, Engineering, or a closely related discipline. Demonstrated ...

DocuSign

Software Engineer

Seattle, WA · On-site +1

$118K - $183K/yr

We look for candidates with love for computer science and engineering, and we truly believe you ... Employee divides their time between in-office and remote work. Access to an office location is ...

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Remote Computer Science Fresh Graduate information

What are the key skills and qualifications needed to thrive as a Remote Computer Science Fresh Graduate, and why are they important?

To thrive as a Remote Computer Science Fresh Graduate, you need a solid foundation in programming languages, algorithms, and software development principles, typically supported by a relevant degree. Familiarity with version control systems like Git, collaboration tools such as Slack or Jira, and cloud platforms is highly valued. Strong problem-solving abilities, self-motivation, and effective written communication are crucial soft skills for remote work success. These skills and qualities are essential to deliver high-quality work independently, collaborate efficiently with distributed teams, and adapt quickly to new challenges in a remote environment.

What are remote computer science fresh graduates?

Remote computer science fresh graduates are individuals who have recently completed a degree in computer science and are seeking or starting entry-level positions that allow them to work from home or any location outside a traditional office. These roles typically involve tasks such as software development, web development, or IT support, and require strong technical skills gained through academic coursework or internships. Remote positions offer flexibility and the opportunity to work for companies worldwide, but may also require strong self-motivation and communication skills to collaborate effectively with distributed teams.

What are some common challenges Remote Computer Science Fresh Graduates face during their first year, and how can they overcome them?

Remote Computer Science Fresh Graduates often encounter challenges like adapting to distributed team communication, managing time effectively without in-person supervision, and bridging the gap between academic knowledge and practical coding tasks. To overcome these, it's helpful to proactively seek feedback, participate in virtual team meetings, and utilize collaboration tools like Slack or GitHub. Building a strong routine, asking questions early, and leveraging mentorship opportunities can also make the transition smoother and support your long-term growth.
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Remote Computer Science Fresh Graduate jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Bellevue, WA • Remote

Other

Posted 18 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply