Apple's Camera Algorithm team is seeking an extraordinary and highly experienced Machine Learning Engineer to drive groundbreaking machine learning-based technologies that help define the ...
Apple's Camera Algorithm team is seeking an extraordinary and highly experienced Machine Learning Engineer to drive groundbreaking machine learning-based technologies that help define the ...
Machine Learning Engineer
$147K - $272K/yr
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 ...
Machine Learning Engineer
$147K - $272K/yr
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 ...
Machine Learning Engineer
$120K - $180K/yr
We value hard workers who have no qualms working with terabyte-scale datasets, who are interested ... Our ideal candidate has experience creating a working machine learning-powered project from the ...
Machine Learning Engineer
$120K - $180K/yr
We value hard workers who have no qualms working with terabyte-scale datasets, who are interested ... Our ideal candidate has experience creating a working machine learning-powered project from the ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Experience with one of the following: machine learning/deep learning systems, computer vision, graphics, computational imaging applications.Experience with Pytorch. MS/PhD in computer vision ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Experience with one of the following: machine learning/deep learning systems, computer vision, graphics, computational imaging applications.Experience with Pytorch. MS/PhD in computer vision ...
Verifiable work experience defining and implementing data pipelines and machine learning algorithms. * Proficiency in Agile Development and Git Operations. * Experience creating, maintaining, and ...
Verifiable work experience defining and implementing data pipelines and machine learning algorithms. * Proficiency in Agile Development and Git Operations. * Experience creating, maintaining, and ...
Machine Learning
Manhattan, NY · On-site
$85/hr
Minimum of 2 years of experience in a data science role. Proficiency in programming languages such as Python or R.. Strong understanding of machine learning techniques and algorithms. Preferred ...
Machine Learning
Manhattan, NY · On-site
$85/hr
Minimum of 2 years of experience in a data science role. Proficiency in programming languages such as Python or R.. Strong understanding of machine learning techniques and algorithms. Preferred ...
Machine Learning Engineer
Fremont, CA · On-site
Real-world experience deploying and maintaining machine learning solutions in production environments. * Passion for clean, sustainable, and modular code to bring research concepts to practical ...
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Machine Learning Engineer
Fremont, CA · On-site
Real-world experience deploying and maintaining machine learning solutions in production environments. * Passion for clean, sustainable, and modular code to bring research concepts to practical ...
Experience with machine learning techniques such as regression, classification, and clustering. * Proficiency in Python and SQL and familiarity with big data tools (e.g., Spark) and ML libraries (e.g ...
Experience with machine learning techniques such as regression, classification, and clustering. * Proficiency in Python and SQL and familiarity with big data tools (e.g., Spark) and ML libraries (e.g ...
Learn and apply SAS as needed for dataset generation (prior experience is not required). * Ensure ... Qualifications: * 2-5+ YOE as a Machine Learning Engineer or Data Scientist with a focus on ...
Learn and apply SAS as needed for dataset generation (prior experience is not required). * Ensure ... Qualifications: * 2-5+ YOE as a Machine Learning Engineer or Data Scientist with a focus on ...
Machine Learning Specialist
New York, NY · On-site
Fundamental knowledge of and/or experience developing and applying algorithms in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot ...
Machine Learning Specialist
New York, NY · On-site
Fundamental knowledge of and/or experience developing and applying algorithms in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot ...
Prior experience designing and building Machine Learning models * Deep understanding of machine learning concepts and fundamentals * Experience in analyzing complex datasets, driving insights, and ...
Prior experience designing and building Machine Learning models * Deep understanding of machine learning concepts and fundamentals * Experience in analyzing complex datasets, driving insights, and ...
Machine Learning Engineer
$128K - $214K/yr
Experience creating, maintaining, and communicating complex technical documentation for machine learning systems. Preferred Qualifications: * Experience with the Sponsor's primary cyber risk and ...
Machine Learning Engineer
$128K - $214K/yr
Experience creating, maintaining, and communicating complex technical documentation for machine learning systems. Preferred Qualifications: * Experience with the Sponsor's primary cyber risk and ...
Experience with machine learning techniques such as regression, classification, and clustering. * Proficiency in Python and SQL and familiarity with big data tools (e.g., Spark) and ML libraries (e.g ...
Experience with machine learning techniques such as regression, classification, and clustering. * Proficiency in Python and SQL and familiarity with big data tools (e.g., Spark) and ML libraries (e.g ...
Machine Learning Engineer
San Francisco, CA · On-site
$120K - $180K/yr
We value hard workers who have no qualms working with terabyte-scale datasets, who are interested ... Our ideal candidate has experience creating a working machine learning-powered project from the ...
Machine Learning Engineer
San Francisco, CA · On-site
$120K - $180K/yr
We value hard workers who have no qualms working with terabyte-scale datasets, who are interested ... Our ideal candidate has experience creating a working machine learning-powered project from the ...
Machine Learning Engineer
Los Angeles, CA · On-site
Minimum of 3 years of experience in machine learning, with demonstrated application to real-world problems; 1 year of machine learning experience with a PhD. * Strong foundation in supervised and ...
Machine Learning Engineer
Los Angeles, CA · On-site
Minimum of 3 years of experience in machine learning, with demonstrated application to real-world problems; 1 year of machine learning experience with a PhD. * Strong foundation in supervised and ...
Machine Learning Engineer
Newark, NJ · On-site
... Machine learning models and data ingestion pipelines. • Develop and support a platform that ... • Experience in container, streaming and messaging technologies is a plus • Advanced ...
Machine Learning Engineer
Newark, NJ · On-site
... Machine learning models and data ingestion pipelines. • Develop and support a platform that ... • Experience in container, streaming and messaging technologies is a plus • Advanced ...
As a Machine Learning Engineer, you will help build and operate production systems that power fraud ... You'll gain hands-on experience working across model development, evaluation, deployment ...
As a Machine Learning Engineer, you will help build and operate production systems that power fraud ... You'll gain hands-on experience working across model development, evaluation, deployment ...
ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and ...
ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and ...
Machine Learning in Peachtree City, GA, USA Target Rate - Open Rates WWS ID - 111803 (And 111800 ... Experience in embedded software development (TI OMAP/Jacinto, NXP imx6, Renesas, NVidia, Qualcomm ...
Machine Learning in Peachtree City, GA, USA Target Rate - Open Rates WWS ID - 111803 (And 111800 ... Experience in embedded software development (TI OMAP/Jacinto, NXP imx6, Renesas, NVidia, Qualcomm ...
Machine Learning Engineer
$150K - $200K/yr
Machine Learning Engineer At Leash Biosciences, we are at the cutting edge of integrating machine ... Our dataset can be thought of as billions of labeled sentences so experience with language models ...
Machine Learning Engineer
$150K - $200K/yr
Machine Learning Engineer At Leash Biosciences, we are at the cutting edge of integrating machine ... Our dataset can be thought of as billions of labeled sentences so experience with language models ...
Weekend No Experience Machine Learning information
See salary details
$11.54 - $13.11
1% of jobs
$13.11 - $14.69
7% of jobs
$16.21 is the 25th percentile. Wages below this are outliers.
$14.69 - $16.26
17% of jobs
The median wage is $17.12 / hr.
$16.26 - $17.83
45% of jobs
$18.19 is the 75th percentile. Wages above this are outliers.
$17.83 - $19.41
21% of jobs
$19.41 - $20.98
5% of jobs
$20.98 - $22.55
2% of jobs
$22.55 - $24.13
1% of jobs
$24.13 - $25.70
0% of jobs
$25.70 - $27.27
0% of jobs
$27.27 - $28.85
0% of jobs
$11
$17
$28
How much do weekend no experience machine learning jobs pay per hour?
As of Jun 21, 2026, the average hourly pay for weekend no experience machine learning in the United States is $17.98, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $18.27 per hour, depending on experience, location, and employer.
What kind of support and training can I expect as someone starting a weekend machine learning role with no prior experience?
In a weekend machine learning role designed for beginners, you can typically expect onboarding sessions, access to online learning materials, and mentorship from more experienced team members. Many organizations provide structured guidance through tutorials, code reviews, and collaborative projects to help you build foundational skills. You’ll likely be assigned manageable tasks that allow you to gradually familiarize yourself with real datasets and tools, while regular feedback ensures your steady progress. Team meetings and open communication channels are common, so don’t hesitate to ask questions and seek help as you learn.
What is the difference between Weekend No Experience Machine Learning vs Weekend Data Analyst?
| Aspect | Weekend No Experience Machine Learning | Weekend Data Analyst |
|---|---|---|
| Required Credentials | Basic understanding of programming, no formal certification needed | Basic knowledge of data analysis tools, possibly some certifications |
| Work Environment | Project-based, flexible hours, often remote | Part-time, flexible hours, often remote or on-site |
| Industry Usage | Tech, finance, healthcare, startups | Business, marketing, finance, consulting |
Weekend No Experience Machine Learning roles focus on introductory tasks like data preprocessing and basic model training, suitable for beginners. Weekend Data Analyst positions involve analyzing datasets, creating reports, and supporting decision-making. Both roles are flexible and often part-time, but they differ in technical depth and industry focus.
What are the key skills and qualifications needed to thrive as a Machine Learning professional with no prior experience working weekends, and why are they important?
To thrive as a Machine Learning professional, foundational knowledge in mathematics, statistics, and programming (especially Python) is essential, typically demonstrated through coursework or self-directed learning. Familiarity with machine learning libraries such as scikit-learn or TensorFlow and version control systems like Git is highly beneficial, even at an entry level. Curiosity, problem-solving abilities, and effective communication help newcomers stand out as they learn quickly and collaborate with more experienced team members. These skills and qualities are crucial to building practical expertise, contributing to projects, and adapting to the evolving demands of machine learning roles.
What is a Weekend No Experience Machine Learning job?
A Weekend No Experience Machine Learning job is a part-time opportunity typically scheduled on weekends for individuals interested in machine learning but who have little or no prior experience in the field. These jobs are designed for beginners and may involve tasks such as data labeling, assisting with simple coding projects, or supporting research teams. They provide a great entry point for those looking to gain hands-on experience, learn industry tools, and build their resumes while balancing other commitments like school or a full-time job.
More about Weekend No Experience Machine Learning jobs
What cities are hiring for Weekend No Experience Machine Learning jobs? Cities with the most Weekend No Experience Machine Learning job openings:
What states have the most Weekend No Experience Machine Learning jobs? States with the most job openings for Weekend No Experience Machine Learning jobs include:
What job categories do people searching Weekend No Experience Machine Learning jobs look for? The top searched job categories for Weekend No Experience Machine Learning jobs are:
Full-time
Posted 12 days ago
Apple rating
8.1
Based on 662 frontline employees who took The Breakroom Quiz
6th of 30 rated technology retailers
Job description
Are you passionate about shaping the future of computational photography and video for billions of users worldwide? Apple's Camera Algorithm team is seeking an extraordinary and highly experienced Machine Learning Engineer to drive groundbreaking machine learning-based technologies that help define the photographic and cinematic real-time auto-focus (AF) capture experience across all of Apple's camera products.
As a technical leader within the team, you will own the end-to-end architecture, rapid prototyping, and productization of advanced machine learning-based auto-focus algorithms. You will maneuver through ambiguity independently to drive the long-term ML roadmap for AF, spearheading the design of novel learning-based systems integrated on Apple camera platforms which achieve seamless auto-focus user experience in any scene condition in both bright and low light.You will determine methods and procedures on complex projects, frequently acting as the representative for your area while leading cross-functional work to deploy enhanced machine learning based AF features. This includes coordinating the activities of sub-teams to create sophisticated architecture, training and tooling for machine learning based auto-focus development.You will partner deeply with the SOC architecture team to influence future silicon designs, the hardware team to evaluate new camera components impacting auto-focus, and the firmware team to optimize system-level flows for machine learning algorithms. The ideal candidate is a visionary problem-solver who thinks originally, resolves highly complex issues in creative ways, and is a proven mentor capable of inspiring innovation among others.
MS in Computer Science, Machine Learning, Electrical Engineering, or a related field. Experience in defining datasets for machine learning network training on low-level vision tasks as well as dataset curation and data augmentation strategies for robust training.Expertise in modern machine learning (ML) frameworks and libraries, specifically PyTorch or TensorFlow/TFLite/LiteRT.Strong software engineering and architectural skills, highly skilled at coding in Python and C.
Experience with machine learning for practical low level computer vision applications including one or more of the following areas: auto-focus, stereo disparity/depth, depth estimation, defocus/blur estimation, optical flow estimation, sensor fusion. Experience with defining datasets for training temporal networks.Good knowledge of optics (Point Spread Functions, Depth-of-Field, etc.) and image quality metrics impacting critical image sharpness evaluation (Modulation Transfer Function, Spatial Frequency Response, Acutance, Blur/Defocus Estimation etc).Track record of pioneering innovation comprising publications in top-tier computer vision conferences (e.g., CVPR, ICCV, ECCV) and/or patents.
As a technical leader within the team, you will own the end-to-end architecture, rapid prototyping, and productization of advanced machine learning-based auto-focus algorithms. You will maneuver through ambiguity independently to drive the long-term ML roadmap for AF, spearheading the design of novel learning-based systems integrated on Apple camera platforms which achieve seamless auto-focus user experience in any scene condition in both bright and low light.You will determine methods and procedures on complex projects, frequently acting as the representative for your area while leading cross-functional work to deploy enhanced machine learning based AF features. This includes coordinating the activities of sub-teams to create sophisticated architecture, training and tooling for machine learning based auto-focus development.You will partner deeply with the SOC architecture team to influence future silicon designs, the hardware team to evaluate new camera components impacting auto-focus, and the firmware team to optimize system-level flows for machine learning algorithms. The ideal candidate is a visionary problem-solver who thinks originally, resolves highly complex issues in creative ways, and is a proven mentor capable of inspiring innovation among others.
MS in Computer Science, Machine Learning, Electrical Engineering, or a related field. Experience in defining datasets for machine learning network training on low-level vision tasks as well as dataset curation and data augmentation strategies for robust training.Expertise in modern machine learning (ML) frameworks and libraries, specifically PyTorch or TensorFlow/TFLite/LiteRT.Strong software engineering and architectural skills, highly skilled at coding in Python and C.
Experience with machine learning for practical low level computer vision applications including one or more of the following areas: auto-focus, stereo disparity/depth, depth estimation, defocus/blur estimation, optical flow estimation, sensor fusion. Experience with defining datasets for training temporal networks.Good knowledge of optics (Point Spread Functions, Depth-of-Field, etc.) and image quality metrics impacting critical image sharpness evaluation (Modulation Transfer Function, Spatial Frequency Response, Acutance, Blur/Defocus Estimation etc).Track record of pioneering innovation comprising publications in top-tier computer vision conferences (e.g., CVPR, ICCV, ECCV) and/or patents.
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