... grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience • Experience developing machine learning models for ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience • Experience developing machine learning models for ranking ...
Partner with cross-functional Snap teams to explore and prototype new products Knowledge, Skills ... grad machine learning experience * Research or engineering experience in one or more of the ...
Partner with cross-functional Snap teams to explore and prototype new products Knowledge, Skills ... grad machine learning experience * Research or engineering experience in one or more of the ...
Partner with cross-functional Snap teams to explore and prototype new products Knowledge, Skills ... grad machine learning experience * Research or engineering experience in one or more of the ...
Partner with cross-functional Snap teams to explore and prototype new products Knowledge, Skills ... grad machine learning experience * Research or engineering experience in one or more of the ...
Partner with cross-functional Snap teams to explore and prototype new products Knowledge, Skills ... grad machine learning experience * Research or engineering experience in one or more of the ...
Partner with cross-functional Snap teams to explore and prototype new products Knowledge, Skills ... grad machine learning experience * Research or engineering experience in one or more of the ...
Partner with cross-functional Snap teams to explore and prototype new products Knowledge, Skills ... grad machine learning experience * Research or engineering experience in one or more of the ...
Partner with cross-functional Snap teams to explore and prototype new products Knowledge, Skills ... grad machine learning experience * Research or engineering experience in one or more of the ...
Partner with cross-functional Snap teams to explore and prototype new products Knowledge, Skills ... grad machine learning experience * Research or engineering experience in one or more of the ...
New
Partner with cross-functional Snap teams to explore and prototype new products Knowledge, Skills ... grad machine learning experience * Research or engineering experience in one or more of the ...
New
... post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience * Experience developing machine learning models for ranking ...
... post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience * Experience developing machine learning models for ranking ...
... post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience * Experience developing machine learning models for ranking ...
... post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience * Experience developing machine learning models for ranking ...
... post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience * Experience developing machine learning models for ranking ...
... post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience * Experience developing machine learning models for ranking ...
... post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience * Experience developing machine learning models for ranking ...
... post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience * Experience developing machine learning models for ranking ...
... post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience * Experience developing machine learning models for ranking ...
... post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience * Experience developing machine learning models for ranking ...
Machine Learning Engineer, Level 5
San Francisco, CA · On-site
$178 - $313/hr
... post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience * Experience developing machine learning models for ranking ...
Machine Learning Engineer, Level 5
San Francisco, CA · On-site
$178 - $313/hr
... post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience * Experience developing machine learning models for ranking ...
... post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience * Experience developing machine learning models for ranking ...
... post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience * Experience developing machine learning models for ranking ...
... post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience * Experience developing machine learning models for ranking ...
... post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience * Experience developing machine learning models for 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 * Demonstrated experience building models to support product decision-making and policy evaluation through causal techniques * Experience designing and analyzing ...
... grad machine learning experience * Demonstrated experience building models to support product decision-making and policy evaluation through causal techniques * Experience designing and analyzing ...
... grad machine learning experience * Demonstrated experience building models to support product decision-making and policy evaluation through causal techniques * Experience designing and analyzing ...
... grad machine learning experience * Demonstrated experience building models to support product decision-making and policy evaluation through causal techniques * Experience designing and analyzing ...
... grad machine learning experience * Demonstrated experience building models to support product decision-making and policy evaluation through causal techniques * Experience designing and analyzing ...
... grad machine learning experience * Demonstrated experience building models to support product decision-making and policy evaluation through causal techniques * Experience designing and analyzing ...
... grad machine learning experience * Demonstrated experience building models to support product decision-making and policy evaluation through causal techniques * Experience designing and analyzing ...
... grad machine learning experience * Demonstrated experience building models to support product decision-making and policy evaluation through causal techniques * Experience designing and analyzing ...
... 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 ...
New Grad Machine Learning information
What is a new grad machine learning?
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 skills and qualifications are needed to thrive as a new grad machine learning?
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 challenges do new graduates 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 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 California?
For New Grad Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching New Grad Machine Learning jobs in California look for?
The top searched job categories for New Grad Machine Learning jobs in California are:
What cities in California are hiring for New Grad Machine Learning jobs?
Cities in California with the most New Grad Machine Learning job openings:
Job description
Job Summary:
Snap Inc is a technology company that operates Snapchat and other digital services. They are looking for a Machine Learning Engineer to build and deploy machine learning models, solve large-scale problems, and partner with teams to launch ML-driven features.
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
• 5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience
• 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 operates Snapchat and other digital services. They are looking for a Machine Learning Engineer to build and deploy machine learning models, solve large-scale problems, and partner with teams to launch ML-driven features.
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
• 5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience
• 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.