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Mid Level Machine Learning Teaching Jobs in California

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

$9.7K/wk

This position will be filled at either level based on knowledge and related experience as assessed ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

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Mid Level Machine Learning Teaching information

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data analysis, and programming. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation.

Which 3 jobs will survive AI?

Mid Level Machine Learning Teaching roles are likely to persist as they require specialized knowledge, human interaction, and the ability to adapt to new AI tools. Jobs that involve complex problem-solving, creativity, and emotional intelligence, such as data scientists, AI ethics specialists, and technical trainers, are also expected to remain in demand despite AI advancements.

Will MLE be replaced by AI?

Mid Level Machine Learning Engineers (MLEs) focus on developing, deploying, and maintaining machine learning models, which requires a combination of programming, data analysis, and domain knowledge. While AI automation tools can assist with certain tasks, MLEs are essential for designing complex models, troubleshooting, and ensuring ethical and effective implementation, making complete replacement unlikely in the near term.

What is the difference between Mid Level Machine Learning Teaching vs Data Scientist?

AspectMid Level Machine Learning TeachingData Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related; teaching experienceBachelor's or Master's in CS, Data Science, or related; often requires experience
Work EnvironmentEducational institutions, online platforms, corporate trainingTech companies, finance, healthcare, research labs
Employer & Industry UsageEducational and training sectors, universities, online educationPrivate sector, industry-specific applications, research
Common Search & Comparison IntentUnderstanding teaching roles in ML, educational careersData analysis, modeling, industry applications

Mid Level Machine Learning Teaching focuses on educating students or professionals in ML concepts, often requiring teaching experience and educational credentials. Data Scientists analyze data, build models, and apply ML techniques in industry settings. While both roles involve ML knowledge, teaching emphasizes instruction, whereas data science emphasizes application and analysis.

Can I learn ML in 3 months?

For a mid-level machine learning teaching role, gaining foundational knowledge in machine learning typically requires several months of dedicated study, including understanding algorithms, programming in Python, and working with tools like scikit-learn or TensorFlow. While intensive learning over three months can build basic skills, achieving proficiency suitable for teaching or advanced roles usually takes longer and involves practical experience and project work.
What are popular job titles related to Mid Level Machine Learning Teaching jobs in California? For Mid Level Machine Learning Teaching jobs in California, the most frequently searched job titles are:
What job categories do people searching Mid Level Machine Learning Teaching jobs in California look for? The top searched job categories for Mid Level Machine Learning Teaching jobs in California are:
What cities in California are hiring for Mid Level Machine Learning Teaching jobs? Cities in California with the most Mid Level Machine Learning Teaching job openings:
Mid Level Machine Learning Teaching jobs near you
Infographic showing various Mid Level Machine Learning Teaching job openings in California as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 2% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.
Machine Learning Engineer, Level 5

Machine Learning Engineer, Level 5

Snapchat

Los Angeles, CA

Full-time

Medical

Posted 8 days ago

Job description

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.


The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.


Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We're deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.

We're looking for a Machine Learning Engineer to join Snap Inc!

What you'll do:

  • 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

Knowledge, Skills & Abilities:

  • 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

Minimum Qualifications:

  • 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 Qualifications:

  • 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

If you have a disability or special need that requires accommodation, please don't be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

Our Benefits: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC):

The base salary range for this position is $209,000-$313,000 annually.


Zone B:

The base salary range for this position is $199,000-$297,000 annually.

Zone C:

The base salary range for this position is $178,000-$266,000 annually.This position is eligible for equity in the form of RSUs.

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