Machine Learning Engineer
Sunnyvale, CA · On-site
Solid understanding of machine learning, deep learning fundamentals and optimizations; practical expertise in designing, training and improving deep neural networks. Experience with cutting edge ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Solid understanding of machine learning, deep learning fundamentals and optimizations; practical expertise in designing, training and improving deep neural networks. Experience with cutting edge ...
Conduct feature engineering to extract relevant information for model training. * Train, validate, and fine-tune machine learning models using state-of-the-art techniques. Evaluate model performance ...
Conduct feature engineering to extract relevant information for model training. * Train, validate, and fine-tune machine learning models using state-of-the-art techniques. Evaluate model performance ...
Azure Machine Learning - building , training, testing models Python Programming & associated libraries (scikit learn, PyTorch, TensorFlow etc) Nice to have: Understanding of ML algorithms, frameworks ...
Azure Machine Learning - building , training, testing models Python Programming & associated libraries (scikit learn, PyTorch, TensorFlow etc) Nice to have: Understanding of ML algorithms, frameworks ...
Machine Learning Engineer
Minneapolis, MN · On-site
Conduct feature engineering to extract relevant information for model training. * Train, validate, and fine-tune machine learning models using state-of-the-art techniques. Evaluate model performance ...
Machine Learning Engineer
Minneapolis, MN · On-site
Conduct feature engineering to extract relevant information for model training. * Train, validate, and fine-tune machine learning models using state-of-the-art techniques. Evaluate model performance ...
Machine Learning Manager
San Francisco, CA · 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
San Francisco, CA · 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 ...
We are offering online training on Machine Learning (ML) training. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter:
We are offering online training on Machine Learning (ML) training. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter:
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 ...
Machine Learning Manager
$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
$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 Engineer (Platform)
$120K - $180K/yr
As a Machine Learning Engineer at Artera, you'll work on the AI Platform team with a focus on ... You'll ensure that Artera's model developers can rely on highly efficient, large-scale training ...
Machine Learning Engineer (Platform)
$120K - $180K/yr
As a Machine Learning Engineer at Artera, you'll work on the AI Platform team with a focus on ... You'll ensure that Artera's model developers can rely on highly efficient, large-scale training ...
Machine Learning Engineer
South San Francisco, CA · On-site +1
$168K - $312K/yr
You will also architect and uphold ML pipelines using job scheduling frameworks to streamline data preparation, training, deployment, and machine learning model lifecycles. * In addition to ensuring ...
New
Machine Learning Engineer
South San Francisco, CA · On-site +1
$168K - $312K/yr
You will also architect and uphold ML pipelines using job scheduling frameworks to streamline data preparation, training, deployment, and machine learning model lifecycles. * In addition to ensuring ...
New
... training on Machine Learning (ML) training. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting and ...
... training on Machine Learning (ML) training. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting and ...
Machine Learning Engineer
$150K - $277K/yr
Solid understanding of machine learning, deep learning fundamentals and optimizations; practical expertise in designing, training and improving deep neural networks. Experience with cutting edge ...
Machine Learning Engineer
$150K - $277K/yr
Solid understanding of machine learning, deep learning fundamentals and optimizations; practical expertise in designing, training and improving deep neural networks. Experience with cutting edge ...
Machine Learning
Manhattan, NY · On-site
$85/hr
Title - Machine Learning ( F2F interview is required) Location - New York, NY ( Hybrid 2-3 days ... with ML model training within cloud infra such as Azure, AWS, GCP Proven track record of ...
Machine Learning
Manhattan, NY · On-site
$85/hr
Title - Machine Learning ( F2F interview is required) Location - New York, NY ( Hybrid 2-3 days ... with ML model training within cloud infra such as Azure, AWS, GCP Proven track record of ...
Machine Learning Manager
San Francisco, CA · 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
San Francisco, CA · 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 Engineer (Platform)
OR · Remote
$120K - $180K/yr
As a Machine Learning Engineer at Artera, you'll work on the AI Platform team with a focus on ... You'll ensure that Artera's model developers can rely on highly efficient, large-scale training ...
Quick apply
Machine Learning Engineer (Platform)
OR · Remote
$120K - $180K/yr
As a Machine Learning Engineer at Artera, you'll work on the AI Platform team with a focus on ... You'll ensure that Artera's model developers can rely on highly efficient, large-scale training ...
Build and maintain data pipelines to process and prepare large datasets for model training and ... Experience with machine learning techniques such as regression, classification, and clustering.
Build and maintain data pipelines to process and prepare large datasets for model training and ... Experience with machine learning techniques such as regression, classification, and clustering.
Wehave an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. You will join the Bioresilience ...
Wehave an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. You will join the Bioresilience ...
Machine Learning Engineer
$160K - $190K/yr
Strong experience designing, building, training, and testing machine learning models end-to-end. * Proven ability to work with raw, unstructured, or incomplete data, including data collection ...
Quick apply
Machine Learning Engineer
$160K - $190K/yr
Strong experience designing, building, training, and testing machine learning models end-to-end. * Proven ability to work with raw, unstructured, or incomplete data, including data collection ...
Build and maintain data pipelines to process and prepare large datasets for model training and ... Experience with machine learning techniques such as regression, classification, and clustering.
Build and maintain data pipelines to process and prepare large datasets for model training and ... Experience with machine learning techniques such as regression, classification, and clustering.
Machine Learning (ML) Bioengineer
Livermore, CA · On-site
$9.7K/wk
We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. You will join the Bioresilience ...
Machine Learning (ML) Bioengineer
Livermore, CA · On-site
$9.7K/wk
We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. You will join the Bioresilience ...
Temporary Machine Learning Trainer information
See salary details
$28K - $35.7K
7% of jobs
$35.7K - $43.4K
6% of jobs
$43.4K - $51K
6% of jobs
$57.1K is the 25th percentile. Wages below this are outliers.
$51K - $58.7K
6% of jobs
$58.7K - $66.4K
7% of jobs
$66.4K - $74.1K
5% of jobs
$74.1K - $81.8K
4% of jobs
$81.8K - $89.5K
2% of jobs
$89.5K - $97.1K
1% of jobs
$97.1K - $104.8K
3% of jobs
The median wage is $104.9K / yr.
$104.8K - $112.5K
51% of jobs
$28K
$87.3K
$112.5K
How much do temporary machine learning trainer jobs pay per year?
As of Jul 10, 2026, the average yearly pay for temporary machine learning trainer in the United States is $87,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $111,000.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Temporary Machine Learning Trainer, and why are they important?
To thrive as a Temporary Machine Learning Trainer, you need a solid background in machine learning concepts, data analysis, and model evaluation, usually supported by a relevant degree or experience in computer science or a related field. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or scikit-learn), and educational tools is typically required. Strong communication, adaptability, and instructional skills help trainers effectively convey complex topics and respond to diverse learner needs. These skills ensure trainees gain practical knowledge and confidence, contributing to successful training outcomes and organizational goals.
What are some common challenges faced by Temporary Machine Learning Trainers, and how can they be managed effectively?
Temporary Machine Learning Trainers often face the challenge of quickly adapting to new team environments and rapidly understanding existing workflows. Additionally, they may need to balance delivering training sessions with handling updates to curriculum or technology. Effective communication with permanent staff and staying up-to-date with the latest machine learning tools can help manage these challenges. Being proactive in seeking feedback and clarifying expectations early on can also contribute to a smoother transition and more impactful training sessions.
What is the difference between Temporary Machine Learning Trainer vs Data Scientist?
| Aspect | Temporary Machine Learning Trainer | Data Scientist |
|---|---|---|
| Credentials | Relevant certifications (e.g., AWS, Google Cloud), technical training | Advanced degrees (Master's or PhD) in data science, statistics, or related fields |
| Work Environment | Training sessions, workshops, corporate training settings | Data analysis, modeling, research environments, often in offices or labs |
| Employer & Industry Usage | Tech companies, educational institutions, consulting firms | Tech, finance, healthcare, research organizations |
While both roles involve working with data and machine learning, a Temporary Machine Learning Trainer primarily focuses on educating and training teams or clients on machine learning tools and concepts. In contrast, a Data Scientist develops models, analyzes data, and derives insights for decision-making. The roles differ mainly in their focus—training versus data analysis—though they share foundational technical skills.
What are Temporary Machine Learning Trainers?
Temporary Machine Learning Trainers are professionals hired on a short-term or contract basis to develop, implement, and refine machine learning models or to train teams in machine learning techniques. Their responsibilities often include preparing training data, selecting appropriate algorithms, and ensuring models are accurate and efficient. They may also provide guidance to organizations on best practices and help upskill employees in machine learning concepts. These roles are typically project-based and may last from a few weeks to several months, depending on organizational needs.
More about Temporary Machine Learning Trainer jobs
What cities are hiring for Temporary Machine Learning Trainer jobs? Cities with the most Temporary Machine Learning Trainer job openings:
What are the most commonly searched types of Machine Learning Trainer jobs? The most popular types of Machine Learning Trainer jobs are:
What states have the most Temporary Machine Learning Trainer jobs? States with the most job openings for Temporary Machine Learning Trainer jobs include:
What job categories do people searching Temporary Machine Learning Trainer jobs look for? The top searched job categories for Temporary Machine Learning Trainer jobs are:
- Machine Learning Engineer Opt
- Internship Aws Machine Learning
- Junior Ai Machine Learning Python
- On Call Machine Learning Ops Engineer
- Machine Learning Internship Microsoft
- Biology Machine Learning Intern
- Machine Learning Engineer Software Engineer
- No Experience Nvidia Machine Learning
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Apple rating
8.1
Based on 667 frontline employees who took The Breakroom Quiz
5th of 30 rated technology retailers
Job description
Do you love taking on big challenges that require exceptionally creative solutions?
The Camera & Depth Architecture organization is responsible for research, design, and specifications of cameras and sensors for iPhone and other Apple products. As part of our machine learning team, you will play a vital role in prototyping foundational machine learning tools that bridge the camera hardware and software, in order to build flawless camera technology innovations and experiences that we are known worldwide.
Description
In this role, you will innovate foundational machine learning algorithms for computational photography and computer vision, to research, design and qualify novel cameras and sensors for future Apple products, in collaboration with a wide spectrum of top engineers across Apple.
Minimum Qualifications
BS in electrical, optical or computer engineering/science, and a minimum of 3 years relevant industry experience
Experience with software coding in Python.
Experience with one of the following: machine learning/deep learning systems, computer vision, graphics, computational imaging applications.
Experience with Pytorch.
Preferred Qualifications
MS/PhD in computer vision, electrical, optical or computer engineering or related fields.
Experience or strong personal curiosity with designing imaging and sensing systems.
Strong independent problem-solving and communication skills.
Solid understanding of machine learning, deep learning fundamentals and optimizations; practical expertise in designing, training and improving deep neural networks.
Experience with cutting edge computer vision and machine learning research trends and models.
Experience with two or more of the following: ISP (image signal processing), 3A (AE, AF, AWB), diffusion models, multi-modal, generative AI, sensor fusion, sensor physics, differentiable rendering, 3D rendering.
The Camera & Depth Architecture organization is responsible for research, design, and specifications of cameras and sensors for iPhone and other Apple products. As part of our machine learning team, you will play a vital role in prototyping foundational machine learning tools that bridge the camera hardware and software, in order to build flawless camera technology innovations and experiences that we are known worldwide.
Description
In this role, you will innovate foundational machine learning algorithms for computational photography and computer vision, to research, design and qualify novel cameras and sensors for future Apple products, in collaboration with a wide spectrum of top engineers across Apple.
Minimum Qualifications
BS in electrical, optical or computer engineering/science, and a minimum of 3 years relevant industry experience
Experience with software coding in Python.
Experience with one of the following: machine learning/deep learning systems, computer vision, graphics, computational imaging applications.
Experience with Pytorch.
Preferred Qualifications
MS/PhD in computer vision, electrical, optical or computer engineering or related fields.
Experience or strong personal curiosity with designing imaging and sensing systems.
Strong independent problem-solving and communication skills.
Solid understanding of machine learning, deep learning fundamentals and optimizations; practical expertise in designing, training and improving deep neural networks.
Experience with cutting edge computer vision and machine learning research trends and models.
Experience with two or more of the following: ISP (image signal processing), 3A (AE, AF, AWB), diffusion models, multi-modal, generative AI, sensor fusion, sensor physics, differentiable rendering, 3D rendering.
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976