SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering ... Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering ... Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn) * Knowledge of computer vision and ...
Quick apply
Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn) * Knowledge of computer vision and ...
Software Engineer II, ML
San Jose, CA · On-site
$114K - $156K/yr
Responsibilities : • designing Agentic workflows • gradient based and gradient free optimization algorithms • researching and developing Machine Learning approaches to problems in the EDA and ...
Software Engineer II, ML
San Jose, CA · On-site
$114K - $156K/yr
Responsibilities : • designing Agentic workflows • gradient based and gradient free optimization algorithms • researching and developing Machine Learning approaches to problems in the EDA and ...
Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn) * Knowledge of computer vision and ...
Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn) * Knowledge of computer vision and ...
Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn) * Knowledge of computer vision and ...
Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn) * Knowledge of computer vision and ...
SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering ... Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest • ...
SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering ... Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest • ...
LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. • High energy rapid software development, iterating and pivoting quickly • Strong ability to design and create long ...
LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. • High energy rapid software development, iterating and pivoting quickly • Strong ability to design and create long ...
Sr. Engineer, Machine Learning
Redwood City, CA · On-site
$151K - $214K/yr
LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. * Should have excellent understanding of ML lifecycle * Good understanding of system architecture. Have knowledge of big ...
Sr. Engineer, Machine Learning
Redwood City, CA · On-site
$151K - $214K/yr
LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. * Should have excellent understanding of ML lifecycle * Good understanding of system architecture. Have knowledge of big ...
Sr. Engineer, Machine Learning
Redwood City, CA · On-site
$127K - $175K/yr
LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. • Should have excellent understanding of ML lifecycle • Good understanding of system architecture. Have knowledge of ...
Sr. Engineer, Machine Learning
Redwood City, CA · On-site
$127K - $175K/yr
LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. • Should have excellent understanding of ML lifecycle • Good understanding of system architecture. Have knowledge of ...
Sr. Engineer, Machine Learning
$151K - $214K/yr
LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. * Should have excellent understanding of ML lifecycle * Good understanding of system architecture. Have knowledge of big ...
Sr. Engineer, Machine Learning
$151K - $214K/yr
LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. * Should have excellent understanding of ML lifecycle * Good understanding of system architecture. Have knowledge of big ...
Sr. Engineer, Machine Learning
Redwood City, CA · On-site
$151K - $214K/yr
LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. * Should have excellent understanding of ML lifecycle * Good understanding of system architecture. Have knowledge of big ...
Sr. Engineer, Machine Learning
Redwood City, CA · On-site
$151K - $214K/yr
LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. * Should have excellent understanding of ML lifecycle * Good understanding of system architecture. Have knowledge of big ...
Machine Learning Researcher - Springtail
Emeryville, CA · On-site
$150K - $300K/yr
Think both mathematically and empirically about problems of runtime inference in gradient-trained networks, with an eye to the extensive literature on statistical learning and an open mind to the ...
Machine Learning Researcher - Springtail
Emeryville, CA · On-site
$150K - $300K/yr
Think both mathematically and empirically about problems of runtime inference in gradient-trained networks, with an eye to the extensive literature on statistical learning and an open mind to the ...
Machine Learning Engineer, E-commerce Feed Recommendation
San Jose, CA · On-site
$156K - $316K/yr
... Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. - Experience in Deep Learning Tools such as tensorflow/pytorch. - Experience with at least one programming language like C++/Python ...
Machine Learning Engineer, E-commerce Feed Recommendation
San Jose, CA · On-site
$156K - $316K/yr
... Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. - Experience in Deep Learning Tools such as tensorflow/pytorch. - Experience with at least one programming language like C++/Python ...
... Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. - Experience in Deep Learning Tools such as tensorflow/pytorch. - Experience with at least one programming language like C++/Python ...
... Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. - Experience in Deep Learning Tools such as tensorflow/pytorch. - Experience with at least one programming language like C++/Python ...
Software Engineer II, ML
$101K - $188K/yr
Primary responsibilities include designing Agentic workflows, gradient based and gradient free optimization algorithms, researching and developing Machine Learning approaches to problems in the EDA ...
Software Engineer II, ML
$101K - $188K/yr
Primary responsibilities include designing Agentic workflows, gradient based and gradient free optimization algorithms, researching and developing Machine Learning approaches to problems in the EDA ...
The DUE Machine Learning team will build and operate scalable machine learning and data systems ... Strong expertise in distributed training techniques, including gradient sharding and optimization ...
The DUE Machine Learning team will build and operate scalable machine learning and data systems ... Strong expertise in distributed training techniques, including gradient sharding and optimization ...
Software Engineer II, ML
$101K - $188K/yr
Primary responsibilities include designing Agentic workflows, gradient based and gradient free optimization algorithms, researching and developing Machine Learning approaches to problems in the EDA ...
Software Engineer II, ML
$101K - $188K/yr
Primary responsibilities include designing Agentic workflows, gradient based and gradient free optimization algorithms, researching and developing Machine Learning approaches to problems in the EDA ...
The DUE Machine Learning team will build and operate scalable machine learning and data systems ... Strong expertise in distributed training techniques, including gradient sharding and optimization ...
The DUE Machine Learning team will build and operate scalable machine learning and data systems ... Strong expertise in distributed training techniques, including gradient sharding and optimization ...
Software Engineer II, ML
San Jose, CA · On-site
$101K - $188K/yr
Primary responsibilities include designing Agentic workflows, gradient based and gradient free optimization algorithms, researching and developing Machine Learning approaches to problems in the EDA ...
Software Engineer II, ML
San Jose, CA · On-site
$101K - $188K/yr
Primary responsibilities include designing Agentic workflows, gradient based and gradient free optimization algorithms, researching and developing Machine Learning approaches to problems in the EDA ...
We seek an experienced Senior Machine Learning Infrastructure Engineer to lead the development of ... Strong expertise in distributed training techniques, including gradient sharding and optimization ...
We seek an experienced Senior Machine Learning Infrastructure Engineer to lead the development of ... Strong expertise in distributed training techniques, including gradient sharding and optimization ...
Gradient Learning information
See California salary details
$9.18 - $16.48
13% of jobs
$21.14 is the 25th percentile. Wages below this are outliers.
$16.48 - $23.77
19% of jobs
$23.77 - $31.07
16% of jobs
The median wage is $32.40 / hr.
$31.07 - $38.37
12% of jobs
$38.37 - $45.67
9% of jobs
$52.44 is the 75th percentile. Wages above this are outliers.
$45.67 - $52.96
7% of jobs
$52.96 - $60.26
6% of jobs
$60.26 - $67.56
5% of jobs
$67.56 - $74.86
5% of jobs
$74.86 - $82.15
4% of jobs
$82.15 - $89.45
3% of jobs
$9
$41
$89
How much do gradient learning jobs pay per hour?
As of Jun 9, 2026, the average hourly pay for gradient learning in California is $41.54, according to ZipRecruiter salary data. Most workers in this role earn between $21.42 and $57.44 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Gradient Learning specialist, and why are they important?
To thrive as a Gradient Learning specialist, you need expertise in instructional design, educational technology integration, and a background in teaching or curriculum development, often supported by a relevant degree. Familiarity with learning management systems (LMS), digital assessment tools, and platforms like Google Classroom is common in this role. Strong communication, collaboration, and problem-solving skills are essential for engaging educators and supporting student-centered learning. These skills ensure the effective implementation of personalized learning strategies and foster successful educational outcomes.
How does a professional in Gradient Learning typically collaborate with educators and technology teams to implement personalized learning solutions?
Professionals working in Gradient Learning roles often serve as a bridge between educators and technology teams, ensuring that personalized learning platforms are effectively integrated into classroom environments. They collaborate with teachers to understand classroom needs, provide training, and gather feedback to refine digital tools. Simultaneously, they work closely with developers and product managers to relay user insights and help prioritize features that enhance student learning experiences. This cross-functional collaboration is essential for creating solutions that are both pedagogically sound and technically robust.
What is Gradient Learning?
Gradient Learning is an education-focused nonprofit organization that partners with schools and educators to develop innovative teaching tools and learning models. Their mission is to support student-centered education by providing resources such as curriculum content, professional development, and technology platforms. Gradient Learning is known for initiatives like the Summit Learning program, which emphasizes personalized learning, project-based instruction, and strong teacher-student relationships. They collaborate with schools to improve educational outcomes and empower teachers to tailor learning experiences to individual student needs.
What are popular job titles related to Gradient Learning jobs in California? For Gradient Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Gradient Learning jobs in California look for? The top searched job categories for Gradient Learning jobs in California are:
What cities in California are hiring for Gradient Learning jobs? Cities in California with the most Gradient Learning job openings:
Full-time
Posted 15 days ago
Job description
Role: Data Scientist – Machine Learning Focus
(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)
Adidev Technologies Inc
www.adidevtechnologies.com
Adidev Technologies is seeking 2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Job Description
• Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems.
• Strong foundation in Python programming in a cloud environment.
• Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
• Expertise in data wrangling using SQL,
• Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
• Fluency in querying/extracting/aggregating data via SQL scripting.
• Extract, load and transform data (ETL) from structured and unstructured sources
• Apply Natural Language Processing and Computer Vision to solve business use cases,
• Strong skills in scientific data analyses, modeling, visualization and communication of results.
• Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
Must have
• Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
• Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
• Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
• Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
• Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
• Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
• Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
• Distributed computing tools and cloud technology (AWS)
Benefits
Competitive Salary
Paid Relocation
Remote Support
Guaranteed Regular Salary Reviews
Job Type: W2 or Contract 1099 (full-time - 40 hours).
Ready to Embark?
we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.
Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough
About Adidev Technologies
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Atlanta, GA, US