... post-grad machine learning experience; or PhD in a relevant technical field • Experience developing machine learning models for ranking, recommendations, search, content understanding, image ...
... post-grad machine learning experience; or PhD in a relevant technical field • Experience developing machine learning models for ranking, recommendations, search, content understanding, image ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience • Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience • Experience developing machine learning models for relevance ranking ...
... post-grad machine learning experience; or PhD in a relevant technical field • Experience developing machine learning models for ranking, recommendations, search, content understanding, image ...
... post-grad machine learning experience; or PhD in a relevant technical field • Experience developing machine learning models for ranking, recommendations, search, content understanding, image ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience • Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience • Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... post-grad machine learning experience; or PhD in a relevant technical field * Experience developing machine learning models for ranking, recommendations, search, content understanding, image ...
... post-grad machine learning experience; or PhD in a relevant technical field * Experience developing machine learning models for ranking, recommendations, search, content understanding, image ...
... post-grad machine learning experience; or PhD in a relevant technical field * Experience developing machine learning models for ranking, recommendations, search, content understanding, image ...
... post-grad machine learning experience; or PhD in a relevant technical field * Experience developing machine learning models for ranking, recommendations, search, content understanding, image ...
... post-grad machine learning experience; or PhD in a relevant technical field * Experience developing machine learning models for ranking, recommendations, search, content understanding, image ...
... post-grad machine learning experience; or PhD in a relevant technical field * Experience developing machine learning models for ranking, recommendations, search, content understanding, image ...
... post-grad machine learning experience; or PhD in a relevant technical field * Experience developing machine learning models for ranking, recommendations, search, content understanding, image ...
... post-grad machine learning experience; or PhD in a relevant technical field * Experience developing machine learning models for ranking, recommendations, search, content understanding, image ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Bellevue, WA · Remote
$139.98K - $168.19K/yr
Identify new opportunities to apply Machine Learning to different parts of the Poe product * Work with other engineers to implement algorithms and systems in an efficient way * Take end-to-end ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Bellevue, WA · Remote
$139.98K - $168.19K/yr
Identify new opportunities to apply Machine Learning to different parts of the Poe product * Work with other engineers to implement algorithms and systems in an efficient way * Take end-to-end ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Tacoma, WA · Remote
$139.98K - $168.19K/yr
Identify new opportunities to apply Machine Learning to different parts of the Poe product * Work with other engineers to implement algorithms and systems in an efficient way * Take end-to-end ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Tacoma, WA · Remote
$139.98K - $168.19K/yr
Identify new opportunities to apply Machine Learning to different parts of the Poe product * Work with other engineers to implement algorithms and systems in an efficient way * Take end-to-end ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Seattle, WA · Remote
$139.98K - $168.19K/yr
Identify new opportunities to apply Machine Learning to different parts of the Poe product * Work with other engineers to implement algorithms and systems in an efficient way * Take end-to-end ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Seattle, WA · Remote
$139.98K - $168.19K/yr
Identify new opportunities to apply Machine Learning to different parts of the Poe product * Work with other engineers to implement algorithms and systems in an efficient way * Take end-to-end ...
Machine Learning Engineer, Offline Infrastructure (Entry-Level / New Grad)
Bellevue, WA · On-site
$121.30K - $159.10K/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 ...
Machine Learning Engineer, Offline Infrastructure (Entry-Level / New Grad)
Bellevue, WA · On-site
$121.30K - $159.10K/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 ...
Machine Learning Engineer
Seattle, WA · Remote
Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine ... Potential for ongoing work and contract extension as new projects launch
Machine Learning Engineer
Seattle, WA · Remote
Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine ... Potential for ongoing work and contract extension as new projects launch
Machine Learning Manager
Seattle, WA · On-site
$180K - $250K/yr
We're interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects ...
Machine Learning Manager
Seattle, WA · On-site
$180K - $250K/yr
We're interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects ...
New Grad Machine Learning information
See Kent, WA salary details
$28.8K - $35.2K
5% of jobs
$37.3K is the 25th percentile. Wages below this are outliers.
$35.2K - $41.6K
59% of jobs
$41.6K - $48K
9% of jobs
$48.5K is the 75th percentile. Wages above this are outliers.
$48K - $54.4K
17% of jobs
$54.4K - $60.9K
4% of jobs
$60.9K - $67.3K
2% of jobs
$67.3K - $73.7K
3% of jobs
$73.7K - $80.1K
0% of jobs
$80.1K - $86.5K
0% of jobs
$86.5K - $92.9K
0% of jobs
$92.9K - $99.3K
0% of jobs
$28.8K
$48.1K
$99.3K
How much do new grad machine learning jobs pay per year?
As of Jun 1, 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 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 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 '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 is the difference between New Grad Machine Learning vs Data Scientist?
| Aspect | New Grad Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in CS, Data Science, or related field; some internships | Bachelor's or Master's in CS, Statistics, or related; some experience |
| Work Environment | Entry-level, team-focused, research and development | Data analysis, modeling, cross-functional collaboration |
| Employer & Industry Usage | Tech companies, startups, research labs | Tech, 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 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 job categories do people searching New Grad Machine Learning jobs in Kent, WA look for? The top searched job categories for New Grad Machine Learning jobs in Kent, WA 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:
Job description
Job Summary:
Snap Inc is a technology company that aims to enhance communication through its innovative products like Snapchat and augmented reality solutions. They are seeking a Machine Learning Engineer to build and deploy machine learning models for core products, applying modern techniques to solve real-world problems and collaborating with cross-functional teams.
Responsibilities:
• Build and deploy machine learning models that power core products, serving millions of Snapchatters
• Apply modern ML techniques to solve large-scale, real-world problems
• Own the full ML lifecycle from data analysis to production deployment
• Partner with cross-functional teams to prototype and launch ML-driven features
• Utilize AI tools to design and ship scalable services while upholding rigorous standards for code correctness, security, and production
Qualifications:
Required:
• Strong understanding of machine learning approaches and algorithms
• Able to prioritize duties and work well on your own
• Ability to work with both internal and external partners
• Skilled at solving open ambiguous problems
• Strong collaboration and mentorship skills
• Proficiency in, or a strong aptitude for, leveraging AI tools to streamline development, paired with the critical judgment to audit generated output for architectural integrity, performance bottlenecks, and security risks
• Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices
• Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
• 3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field
• Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning
Preferred:
• Advanced degree in computer science or related field
• Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
• Experience working with machine learning, ranking infrastructures, and system design
Company:
Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Founded in 2011, the company is headquartered in Venice, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
Snap Inc is a technology company that aims to enhance communication through its innovative products like Snapchat and augmented reality solutions. They are seeking a Machine Learning Engineer to build and deploy machine learning models for core products, applying modern techniques to solve real-world problems and collaborating with cross-functional teams.
Responsibilities:
• Build and deploy machine learning models that power core products, serving millions of Snapchatters
• Apply modern ML techniques to solve large-scale, real-world problems
• Own the full ML lifecycle from data analysis to production deployment
• Partner with cross-functional teams to prototype and launch ML-driven features
• Utilize AI tools to design and ship scalable services while upholding rigorous standards for code correctness, security, and production
Qualifications:
Required:
• Strong understanding of machine learning approaches and algorithms
• Able to prioritize duties and work well on your own
• Ability to work with both internal and external partners
• Skilled at solving open ambiguous problems
• Strong collaboration and mentorship skills
• Proficiency in, or a strong aptitude for, leveraging AI tools to streamline development, paired with the critical judgment to audit generated output for architectural integrity, performance bottlenecks, and security risks
• Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices
• Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
• 3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field
• Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning
Preferred:
• Advanced degree in computer science or related field
• Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
• Experience working with machine learning, ranking infrastructures, and system design
Company:
Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Founded in 2011, the company is headquartered in Venice, USA, with a team of 5001-10000 employees. The company is currently Late Stage.