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New Grad Machine Learning Jobs in Kent, WA (NOW HIRING)

Unitytech

Machine Learning Engineer

Bellevue, WA · On-site

$143K - $214K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... new parents through leave and family-care programs | Office food snacks | Mental Health and ...

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ...

Apple

Machine Learning Engineer

Seattle, WA

$175K - $308K/yr

We perform applied research development to adapt state-of-the-art methods or implement new methods ... machine learning or related field PhD in computer vision, computer graphics, machine learning ...

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

... new processes that help you succeed. With offices in Seattle, USA and Bangalore, India; we use a ... Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical ...

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

... new processes that help you succeed. With offices in Seattle, USA and Bangalore, India; we use a ... Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical ...

PitchBook Data

Machine Learning Engineer

Seattle, WA · On-site

As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role ... Participate in the technical evaluation of candidates and help onboard new team members by ...

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Showing results 1-20

All JobsNew Grad Machine Learning JobsNew Grad Machine Learning Jobs in Kent, WA

New Grad Machine Learning information

See Kent, WA salary details

$28.8K

$48.1K

$99.3K

How much do new grad machine learning jobs pay per year?

As of Jul 13, 2026, the average yearly pay for new grad machine learning in Kent, WA is $48,072.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,700.00 and $51,900.00 per year, depending on experience, location, and employer.

What are some typical challenges new graduates might face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What are the key skills and qualifications needed to thrive as a New Grad Machine Learning Engineer, and why are they important?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are 'New Grad Machine Learning' roles?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.
What are popular job titles related to New Grad Machine Learning jobs in Kent, WA? For New Grad Machine Learning jobs in Kent, WA, the most frequently searched job titles are:
What cities near Kent, WA are hiring for New Grad Machine Learning jobs? Cities near Kent, WA with the most New Grad Machine Learning job openings:
New Grad Machine Learning jobs near you
AI Research Scientist, New Grad - Agents & Reinforcement Learning

AI Research Scientist, New Grad - Agents & Reinforcement Learning

Snowflake

Bellevue, WA • On-site

$176K - $230K/yr

Full-time

Posted 26 days ago

Job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset, rapidly testing emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level.
We are hiring an AI Research Scientist (New Grad) for our AI Research team. Our team is pushing the frontier of autonomous, self-improving AI systems - building agents that reason, code, and learn at scale inside the Snowflake Data Cloud. This role sits at the intersection of agentic AI and reinforcement learning, where your research will directly shape how enterprises leverage intelligent automation.
AS AN AI RESEARCH SCIENTIST AT SNOWFLAKE, YOU WILL:
  • Design and develop agentic frameworks powered by recursive self-improvement loops, enabling AI systems that iteratively refine their own capabilities and strategies
  • Build and evaluate auto research agents - systems capable of autonomously formulating hypotheses, executing experiments, and synthesizing findings
  • Develop coding agents that understand, generate, and debug code across complex, multi-step programming tasks
  • Conduct research in reinforcement learning with a focus on RLHF, DPO, and PPO as mechanisms for aligning and improving agentic behaviors
  • Contribute to multi-agent systems where specialized agents collaborate, negotiate, and self-organize to solve enterprise-scale problems
  • Develop and curate training data pipelines - both synthetic and human-annotated - to support novel agentic and RL research domains
  • Publish research findings at top-tier venues such as NeurIPS, ICML, ICLR, and ACL

OUR IDEAL AI RESEARCH SCIENTIST WILL HAVE:
  • PhD in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field (completing or recently completed; or equivalent research experience)
  • Foundational expertise in reinforcement learning algorithms, including RLHF, DPO, PPO, or multi-agent systems
  • Research experience in LLM post-training, fine-tuning, or reasoning model development
  • Demonstrated ability to implement and experiment with agentic architectures - including tool-use, planning, and self-correction loops
  • Proficiency in Python and at least one deep learning framework (PyTorch or JAX strongly preferred)
  • Strong mathematical and analytical foundation - comfortable working at the intersection of theory and empirical research
  • At least one first-author or co-authored publication or preprint in a relevant AI/ML area

BONUS POINTS FOR THE FOLLOWING:
  • Hands-on experience building or evaluating coding agents or auto research agents
  • Familiarity with recursive self-improvement frameworks or automated AI scientist paradigms
  • Experience with large-scale distributed training or efficient training paradigms
  • Background in mathematical reasoning, structured decision-making, or program synthesis
  • Exposure to domain-specific AI applications in healthcare, finance, or enterprise workflows

WHY JOIN OUR AI RESEARCH TEAM AT SNOWFLAKE?
Snowflake's AI Research team operates at the frontier of what autonomous AI systems can do - not as a research lab disconnected from practice, but as a team where your work ships into a platform used by thousands of enterprises. You'll be working alongside researchers and engineers who are building the next generation of agentic infrastructure, with access to large-scale compute, real-world data challenges, and the shortest possible path from research idea to product impact.
For a new grad role, this is a rare opportunity to grow your research career while contributing to systems that actually run in production - shaping how AI agents reason, learn, and improve themselves inside the world's leading data cloud.
Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

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