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Remote New Grad Software Engineer Jobs in Washington, MI

Senior Machine Learning Test Engineer

Novi, MI ยท On-site +1

$103K - $134K/yr

Your skills span test strategy, automation, and a little MLOps, with a strong software engineering ... Passion for learning new technologies and improving existing systems * Experience with cloud ...

Senior Apriso Developer

Troy, MI ยท Remote

$52.25 - $67.50/hr

... software development best practices Mandatory Requirements: * US Citizenship (USC) required ... Ability to work independently in a remote environment Key Responsibilities: * Design, develop ...

Engineering & Science Job Schedule: Full time Remote: No The Opportunity: JR Automation, a Hitachi ... Experience with robotic and/or discrete simulation software preferred, software such as: o ...

Engineering & Science Job Schedule: Full time Remote: No The Opportunity: JR Automation, a Hitachi ... Experience with robotic and/or discrete simulation software preferred, software such as: o ...

Engineering & Science Job Schedule: Full time Remote: No The Opportunity: JR Automation, a Hitachi ... Experience with robotic and/or discrete simulation software preferred, software such as: o ...

Software Tutor

Detroit, MI ยท Remote

$18 - $40/hr

Deep knowledge of software development methodologies, programming languages, version control ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Showing results 41-60

Remote New Grad Software Engineer information

See Washington, MI salary details

$58.9K

$136.8K

$190.6K

How much do remote new grad software engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote new grad software engineer in Washington, MI is $136,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $160,400.00 per year, depending on experience, location, and employer.

What is the difference between Remote New Grad Software Engineer vs Remote Software Developer?

AspectRemote New Grad Software EngineerRemote Software Developer
Required CredentialsBachelor's degree in CS or related field, internship experience often preferredSimilar educational background, may require more professional experience
Work EnvironmentEntry-level, mentored, collaborative teams, often in tech companies or startupsCan be entry or mid-level, more autonomous, in various industries
Employer & Industry UsageCommon in tech, startups, large corporations hiring entry-level talentUsed across industries, including tech, finance, healthcare, often for experienced roles

The main difference is that a Remote New Grad Software Engineer is an entry-level role designed for recent graduates, focusing on learning and growth, while a Remote Software Developer may have more experience and responsibilities. Both roles often require similar educational backgrounds and work in similar environments, but the developer role can involve more independent work and complex projects.

What are some unique challenges new grad software engineers face when starting in a fully remote environment?

New grad software engineers working remotely often encounter challenges such as building strong relationships with teammates, navigating company culture, and getting timely feedback. Without in-person interactions, it can take extra effort to communicate effectively, ask questions, and stay connected with mentors. Proactively reaching out through messaging tools, participating in virtual meetings, and setting up regular check-ins with managers can help ease the transition and ensure continued growth and support.

What is a remote new grad software engineer?

A Remote New Grad Software Engineer is an entry-level professional who has recently graduated from college or university with a degree in computer science or a related field and works from a location outside the traditional office setting. These engineers are responsible for designing, developing, testing, and maintaining software applications while collaborating with their teams virtually. Remote positions offer flexibility and the opportunity to work with companies regardless of geographic location, but they also require strong communication skills and self-motivation.

What are the key skills and qualifications needed to thrive as a remote new grad software engineer, and why are they important?

To thrive as a Remote New Grad Software Engineer, you need a solid understanding of programming languages (such as Python, Java, or JavaScript), algorithms, and software development principles, usually supported by a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, collaborative tools (e.g., Jira, Slack), and cloud platforms is typically expected. Strong self-motivation, effective communication, and the ability to learn independently are vital soft skills in a remote environment. These competencies ensure you can contribute to codebases, collaborate across distances, and adapt quickly to evolving technical challenges.
What cities near Washington, MI are hiring for Remote New Grad Software Engineer jobs? Cities near Washington, MI with the most Remote New Grad Software Engineer job openings:

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Warren, MI โ€ข Remote

Full-time

Re-posted 17 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

โ€‹

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:

  • Bachelorโ€™s or Masterโ€™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.