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Remote New Grad Rn Jobs in Kitsap County, WA (NOW HIRING)

Unitytech

Machine Learning Engineer, New Grad

Bellevue, WA · On-site +1

$117K - $152K/yr

Mountain View, SF/Bay: $117,000 - $152,000 gross USD Bellevue, Seattle, NYC, Remote CA: $104,100 ... new parents through leave and family-care programs | Office food snacks | Mental Health and ...

DaVita

Registered Nurse RN Case Manager

Tacoma, WA · Remote

This is a remote position requiring the teammate to support both ESKD and CKD patients throughout ... Ability to modify personal practice patterns to adapt to new / electronic processes and increased ...

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$31

$44

How much do remote new grad rn jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote new grad rn in Kitsap County, WA is $31.70, according to ZipRecruiter salary data. Most workers in this role earn between $28.51 and $32.36 per hour, depending on experience, location, and employer.

What is a remote new grad RN?

A Remote New Grad RN job allows newly licensed registered nurses to work from home, typically in roles such as telehealth nursing, case management, or remote patient monitoring. These positions involve providing patient education, care coordination, and support via phone or online platforms instead of in-person clinical settings. While the work is remote, most employers require strong communication skills, clinical knowledge, and possibly some prior hands-on experience.

What are the key skills and qualifications needed to thrive as a remote new grad RN?

To thrive as a Remote New Grad RN, you need a valid RN license, strong foundational nursing knowledge, and excellent assessment skills. Familiarity with telehealth platforms, electronic health records (EHRs), and secure communication tools is typically required. Outstanding communication, time management, self-motivation, and the ability to work independently are vital soft skills for remote nursing roles. These skills enable safe, effective patient care and collaboration with remote healthcare teams in a virtual environment.

What are some common challenges faced by remote new grad RNs, and how can they be addressed?

Remote New Grad RNs often encounter challenges such as limited in-person supervision, adapting to telehealth technologies, and building rapport with patients virtually. To address these, many organizations offer structured onboarding, mentorship, and regular remote team meetings to provide guidance and peer support. Staying proactive in communication, asking questions, and utilizing available training resources can help ease the transition from clinical settings to remote care. Embracing flexibility and continuous learning is key to thriving in this evolving and supportive work environment.

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Remote New Grad Rn jobs near you
Infographic showing various Remote New Grad Rn job openings in Kitsap County, WA as of August 2026, with employment types broken down into 3% As Needed, 58% Full Time, 13% Part Time, and 26% Contract. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $65,940 per year, or $31.7 per hour.

Machine Learning Engineer, New Grad

Unitytech

Bellevue, WA • On-site, Remote

$117K - $152K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 5 days ago

Key responsibilities

  • Build and maintain data pipelines that generate training datasets for machine learning models and experimentation

  • Contribute to infrastructure that supports distributed training workflows

  • Work with workflow orchestration tools to support multi-stage ML pipelines

Job description

The opportunity
Unity Vector builds an offline ML platform that powers insight, experimentation, attribution, and AI-driven decision-making across the company.

Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our platform enables large-scale model training, feature generation, and experimentation workflows that power production ML systems.

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply research-driven thinking to real-world machine learning problems.

You'll help build and evolve the infrastructure that powers training data generation, ML workflows, and distributed model training. Working closely with experienced engineers and researchers, you'll contribute to systems that ensure our ML pipelines are reliable, scalable, and efficient.

This role offers the opportunity to bridge research and production-translating advanced ideas into systems that operate at scale.

What you'll be doing

  • Build and maintain data pipelines that generate training datasets for machine learning models and experimentation

  • Contribute to infrastructure that supports distributed training workflows (e.g., PyTorch, Ray)

  • Work with workflow orchestration tools (e.g., Airflow, Flyte, or similar) to support multi-stage ML pipelines

  • Improve reproducibility and reliability through dataset validation, monitoring, and testing

  • Partner with ML engineers to support experimentation and model iteration

  • Help optimize performance and efficiency across data processing and training systems

  • Contribute to the evolution of our offline ML platform architecture as it scales

What we're looking for

  • Bachelor's degree in Computer Science, Machine Learning, Systems, or a related field

  • Strong foundation in machine learning systems, distributed systems, or large-scale data processing (through research or projects)

  • Experience with Python and working with data-intensive workloads

  • Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and/or distributed systems (e.g., Ray, Spark)

  • Experience (academic or applied) with data pipelines, model training workflows, or large datasets

  • Strong problem-solving skills and ability to translate research ideas into practical systems

  • Interest in building scalable, reliable infrastructure for machine learning

  • Nice to Have

  • Experience with workflow orchestration systems (Airflow, Flyte, etc.)

  • Exposure to large-scale data platforms (data lakes, warehouses, streaming systems)

  • Publications or research in ML systems, distributed systems, or related areas

Additional information

  • Relocation support is not available for this position

  • Work visa/immigration sponsorship is not available for this position

Base Salary Range: We determine the base salary range for this role based on your primary work location:

Mountain View, SF/Bay: $117,000 - $152,000 gross USD

Bellevue, Seattle, NYC, Remote CA: $104,100 - $135,300 gross USD


This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate's relevant experience, professional background, and skill set.


Benefits


At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.


Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.


While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program


Life at Unity


Unity [NYSE: U] is the world's leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D - closing the gap between ideas and reality. For more information, please visit www.unity.com.


Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.


This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law.


Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.
Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

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