They are seeking a Senior Researcher in Machine Learning to advance the ways artificial intelligence can accelerate discovery in biomedicine and life sciences. Responsibilities : • Design ...
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The Perfect Order Experience (POE) AI team combines artificial intelligence, machine learning, and economic insights to ensure exceptional customer experiences and seller success on Amazon. We ...
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Staff Machine Learning Engineer, Foundation - Seattle Why We Have This Role We are looking for an experienced Machine Learning Engineer to bring our Machine Learning and Artificial Intelligence R&D ...
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Docugami uses powerful artificial intelligence to unlock the information contained in highly varied ... Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside ...
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Seattle, WA · On-site
$139K - $183K/yr
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Seattle, WA · On-site
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Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred Skills: * Knowledge of ...
Quick apply
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Temp Artificial Intelligence Machine Learning information
See Renton, WA salary details
$15.68 - $19.22
8% of jobs
$19.22 - $22.76
5% of jobs
$23.98 is the 25th percentile. Wages below this are outliers.
$22.76 - $26.30
33% of jobs
The median wage is $26.71 / hr.
$26.30 - $29.84
27% of jobs
$30.20 is the 75th percentile. Wages above this are outliers.
$29.84 - $33.38
10% of jobs
$33.38 - $36.92
4% of jobs
$36.92 - $40.46
6% of jobs
$40.46 - $44
2% of jobs
$44 - $47.54
1% of jobs
$47.54 - $51.08
0% of jobs
$51.08 - $54.62
2% of jobs
$15
$29
$54
How much do temp artificial intelligence machine learning jobs pay per hour?
As of Aug 6, 2026, the average hourly pay for temp artificial intelligence machine learning in Renton, WA is $29.64, according to ZipRecruiter salary data. Most workers in this role earn between $24.09 and $31.35 per hour, depending on experience, location, and employer.
What is the difference between Temp Artificial Intelligence Machine Learning vs Data Analyst?
| Aspect | Temp Artificial Intelligence Machine Learning | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's in CS, Data Science, or related; knowledge of ML frameworks | Bachelor's in Statistics, Math, or related; proficiency in data visualization tools |
| Work Environment | Tech companies, R&D labs, startups; project-based roles | Business settings, finance, marketing; focus on data interpretation |
| Industry Usage | AI/ML development, research, product teams | Business intelligence, reporting, decision-making |
Temp Artificial Intelligence Machine Learning roles focus on developing and implementing AI models, requiring technical skills in ML frameworks. Data Analysts interpret data to inform business decisions, often using visualization tools. While both roles work with data, AI/ML positions are more technical and research-oriented, whereas Data Analysts focus on data interpretation and reporting.
What is a Temp Artificial Intelligence Machine Learning?
Temp Artificial Intelligence Machine Learning jobs are temporary positions focused on developing, testing, or implementing AI and machine learning solutions. These roles often involve tasks such as data analysis, model training, algorithm development, and assisting with AI projects on a contractual or short-term basis. Employers typically seek candidates with programming skills, knowledge of ML frameworks, and an understanding of data science concepts. Temp AI/ML jobs are a great way to gain experience in the field, work on innovative projects, and potentially transition into permanent roles.
How does a Temp Artificial Intelligence Machine Learning professional typically collaborate with permanent team members on projects?
Temp AI/ML professionals often work closely with permanent team members to quickly integrate into ongoing projects and contribute specialized expertise. They usually participate in daily stand-up meetings, collaborate on code reviews, and share findings from their data analyses to ensure alignment with the team's goals. Effective communication and adaptability are key, as temp professionals may be assigned to high-priority tasks or fill knowledge gaps within the team. This collaborative environment enables temporary staff to make meaningful contributions while gaining valuable experience with diverse workflows and technologies.
What are the key skills and qualifications needed to thrive as a Temp Artificial Intelligence Machine Learning specialist?
To thrive as a Temp Artificial Intelligence Machine Learning specialist, you need a strong background in mathematics, statistics, programming (commonly Python), and experience with machine learning algorithms, supported by a relevant degree or certifications. Familiarity with tools such as TensorFlow, PyTorch, Scikit-learn, and cloud platforms like AWS or Azure is typically required. Analytical thinking, adaptability, and effective communication are crucial soft skills for problem-solving and collaborating with diverse teams. These competencies enable you to rapidly contribute to complex projects, develop effective models, and align solutions with organizational goals in dynamic environments.
What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Renton, WA? The most popular types of Artificial Intelligence Machine Learning jobs in Renton, WA are:
What are popular job titles related to Temp Artificial Intelligence Machine Learning jobs in Renton, WA? For Temp Artificial Intelligence Machine Learning jobs in Renton, WA, the most frequently searched job titles are:
What cities near Renton, WA are hiring for Temp Artificial Intelligence Machine Learning jobs? Cities near Renton, WA with the most Temp Artificial Intelligence Machine Learning job openings:
Full-time
Re-posted 28 days ago
Microsoft rating
8.5
Based on 132 frontline employees who took The Breakroom Quiz
77th of 242 rated software companies
Job description
Job Summary:
Microsoft is a mission-focused organization within Microsoft Research, working at the forefront of artificial intelligence, healthcare, and life sciences research. They are seeking a Senior Researcher in Machine Learning to advance the ways artificial intelligence can accelerate discovery in biomedicine and life sciences.
Responsibilities:
• Design, implement, and evaluate novel methodologies for scientific discovery through artificial intelligence, non-exhaustively including techniques around post-training, inference-time optimization, interpretability, and experimental design.
• Deep Learning Training Methods: Leverage a background in state-of-the-art techniques to post-train and fine-tune for application-specific scenarios.
• System Optimization: Develop approaches for inference-time optimization of interaction patterns with deep learning models, e.g., context optimization, intelligent sampling, etc.
• In addition to these specific technical areas, candidates will be required to participate in robust, repeatable team-based technical research and be effective communicators.
Qualifications:
Required:
• Doctorate in relevant field
• OR Master's Degree in relevant field AND 3+ years related research experience
• OR Bachelor's Degree in relevant field AND 4+ years related research experience
• OR equivalent experience.
Preferred:
• Experience creating and using generative AI or other ML techniques in the life sciences.
• Experience with pre-, mid-, and/or post-training deep learning models.
• Experience innovating software, systems, or workflows that leverage generative AI-based systems to solve real-world problems in the life sciences. This includes techniques like context engineering, prompt optimization, and optimization of test-time compute.
• Experience creating robust, repeatable technical research artifacts as part of an interdisciplinary team.
• Experience publishing academic papers as a lead author or essential contributor.
Company:
Microsoft provides computer software, consumer electronics, cloud computing platforms, and digital enterprise systems. Founded in 1975, the company is headquartered in Redmond, USA, with a team of 10001+ employees. The company is currently Late Stage.
Microsoft is a mission-focused organization within Microsoft Research, working at the forefront of artificial intelligence, healthcare, and life sciences research. They are seeking a Senior Researcher in Machine Learning to advance the ways artificial intelligence can accelerate discovery in biomedicine and life sciences.
Responsibilities:
• Design, implement, and evaluate novel methodologies for scientific discovery through artificial intelligence, non-exhaustively including techniques around post-training, inference-time optimization, interpretability, and experimental design.
• Deep Learning Training Methods: Leverage a background in state-of-the-art techniques to post-train and fine-tune for application-specific scenarios.
• System Optimization: Develop approaches for inference-time optimization of interaction patterns with deep learning models, e.g., context optimization, intelligent sampling, etc.
• In addition to these specific technical areas, candidates will be required to participate in robust, repeatable team-based technical research and be effective communicators.
Qualifications:
Required:
• Doctorate in relevant field
• OR Master's Degree in relevant field AND 3+ years related research experience
• OR Bachelor's Degree in relevant field AND 4+ years related research experience
• OR equivalent experience.
Preferred:
• Experience creating and using generative AI or other ML techniques in the life sciences.
• Experience with pre-, mid-, and/or post-training deep learning models.
• Experience innovating software, systems, or workflows that leverage generative AI-based systems to solve real-world problems in the life sciences. This includes techniques like context engineering, prompt optimization, and optimization of test-time compute.
• Experience creating robust, repeatable technical research artifacts as part of an interdisciplinary team.
• Experience publishing academic papers as a lead author or essential contributor.
Company:
Microsoft provides computer software, consumer electronics, cloud computing platforms, and digital enterprise systems. Founded in 1975, the company is headquartered in Redmond, USA, with a team of 10001+ employees. The company is currently Late Stage.
What Microsoft employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Microsoft
Sourced by ZipRecruiter
Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.
Industry
Computer and computer peripheral equipment and software wholesalers
Company size
10,000+ Employees
Headquarters location
Redmond, WA, US
Year founded
1975