Minimum Qualifications 8+ years of experience in machine learning, statistics, and quantitative optimization, with at least 2-3 years as a tech lead or at least 1 year as an engineering manager.
Minimum Qualifications 8+ years of experience in machine learning, statistics, and quantitative optimization, with at least 2-3 years as a tech lead or at least 1 year as an engineering manager.
Machine Learning Engineering Manager - Ads Recommendations
Cupertino, CA · On-site
$206 - $356/hr
Minimum Qualifications * 8+ years of experience in machine learning, statistics, and quantitative optimization, with at least 2-3 years as a tech lead or at least 1 year as an engineering manager.
Machine Learning Engineering Manager - Ads Recommendations
Cupertino, CA · On-site
$206 - $356/hr
Minimum Qualifications * 8+ years of experience in machine learning, statistics, and quantitative optimization, with at least 2-3 years as a tech lead or at least 1 year as an engineering manager.
... statistical analysis and data visualization techniques • Understanding of deep learning architectures and algorithms • Excellent problem-solving and critical-thinking skills Company : We are a ...
... statistical analysis and data visualization techniques • Understanding of deep learning architectures and algorithms • Excellent problem-solving and critical-thinking skills Company : We are a ...
(USA) Principal, Data Scientist
Mountain View, CA · On-site
$143K - $286K/yr
Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning ...
(USA) Principal, Data Scientist
Mountain View, CA · On-site
$143K - $286K/yr
Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning ...
SYSTEM ENGINEER
Santa Monica, CA · On-site
$140 - $210/hr
This is an opportunity to work with subject matter experts in custom tooling for novel architectures, compilers, statistical learning, microelectronics, semiconductors and radiation physics. A broad ...
New
SYSTEM ENGINEER
Santa Monica, CA · On-site
$140 - $210/hr
This is an opportunity to work with subject matter experts in custom tooling for novel architectures, compilers, statistical learning, microelectronics, semiconductors and radiation physics. A broad ...
New
(USA) Principal, Data Scientist
Fremont, CA · On-site
$143K - $286K/yr
Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning ...
(USA) Principal, Data Scientist
Fremont, CA · On-site
$143K - $286K/yr
Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning ...
(USA) Principal, Data Scientist
Cupertino, CA · On-site
$143K - $286K/yr
Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning ...
(USA) Principal, Data Scientist
Cupertino, CA · On-site
$143K - $286K/yr
Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning ...
(USA) Principal, Data Scientist
San Jose, CA · On-site
$143K - $286K/yr
Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning ...
(USA) Principal, Data Scientist
San Jose, CA · On-site
$143K - $286K/yr
Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning ...
(USA) Principal, Data Scientist
Milpitas, CA · On-site
$143K - $286K/yr
Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning ...
(USA) Principal, Data Scientist
Milpitas, CA · On-site
$143K - $286K/yr
Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning ...
Minimum Qualifications 8+ years of experience in machine learning, statistics, and quantitative optimization, with at least 2-3 years as a tech lead or at least 1 year as an engineering manager.
Minimum Qualifications 8+ years of experience in machine learning, statistics, and quantitative optimization, with at least 2-3 years as a tech lead or at least 1 year as an engineering manager.
(USA) Principal, Data Scientist
San Mateo, CA · On-site
$143K - $286K/yr
Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning ...
(USA) Principal, Data Scientist
San Mateo, CA · On-site
$143K - $286K/yr
Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning ...
(USA) Principal, Data Scientist
Sunnyvale, CA · On-site
$143K - $286K/yr
Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning ...
(USA) Principal, Data Scientist
Sunnyvale, CA · On-site
$143K - $286K/yr
Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning ...
(USA) Principal, Data Scientist
Hayward, CA · On-site
$143K - $286K/yr
Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning ...
(USA) Principal, Data Scientist
Hayward, CA · On-site
$143K - $286K/yr
Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning ...
Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning ...
Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning ...
Learning Analytics Specialist
$28 - $31/hr
Job Responsibilities Learning Analytics, Data Integration, and Quality Management * Work with the ... Bachelor's degree in data analytics, statistics, information systems, computer science, education ...
Learning Analytics Specialist
$28 - $31/hr
Job Responsibilities Learning Analytics, Data Integration, and Quality Management * Work with the ... Bachelor's degree in data analytics, statistics, information systems, computer science, education ...
Academic Learning Specialist
Alhambra, CA · On-site
$66K - $80K/yr
The Academic Learning Specialist (Student Programs Advisor III) designs and implements support ... Provide statistical information, trends and reports to enhance programs and service delivery.
Academic Learning Specialist
Alhambra, CA · On-site
$66K - $80K/yr
The Academic Learning Specialist (Student Programs Advisor III) designs and implements support ... Provide statistical information, trends and reports to enhance programs and service delivery.
Within Release Evaluation, the Sampling and Efficiency team applies importance sampling techniques and machine learning to maximize the statistical efficiency of these discovery pipelines. You will:
Within Release Evaluation, the Sampling and Efficiency team applies importance sampling techniques and machine learning to maximize the statistical efficiency of these discovery pipelines. You will:
Academic Learning Specialist
Alhambra, CA · On-site
$66K - $80K/yr
The Academic Learning Specialist (Student Programs Advisor III) designs and implements support ... Provide statistical information, trends and reports to enhance programs and service delivery.
Academic Learning Specialist
Alhambra, CA · On-site
$66K - $80K/yr
The Academic Learning Specialist (Student Programs Advisor III) designs and implements support ... Provide statistical information, trends and reports to enhance programs and service delivery.
Academic Learning Specialist
$66K - $80K/yr
The Academic Learning Specialist (Student Programs Advisor III) designs and implements support ... Provide statistical information, trends and reports to enhance programs and service delivery.
Academic Learning Specialist
$66K - $80K/yr
The Academic Learning Specialist (Student Programs Advisor III) designs and implements support ... Provide statistical information, trends and reports to enhance programs and service delivery.
Machine Learning Engineer
Los Angeles, CA · On-site
... statistics, machine learning, and modern methods of artificial intelligence to build large-scale and high-throughput systems handling vast quantities of data • Collaborate with UX designers ...
Machine Learning Engineer
Los Angeles, CA · On-site
... statistics, machine learning, and modern methods of artificial intelligence to build large-scale and high-throughput systems handling vast quantities of data • Collaborate with UX designers ...
Statistical Learning information
What are the key skills and qualifications needed to thrive as a statistical learning specialist?
To thrive as a Statistical Learning Specialist, you need a strong background in statistics, probability, and machine learning, typically supported by an advanced degree in statistics, mathematics, computer science, or a related field. Expertise with programming languages such as Python or R, experience with statistical software (e.g., SAS, MATLAB), and familiarity with data analysis libraries are essential. Critical thinking, problem-solving, and effective communication skills help translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful patterns from data and driving data-informed decision-making.
How do professionals in statistical learning typically collaborate with data scientists and domain experts on projects?
Professionals in statistical learning often work closely with data scientists and domain experts to ensure that the models they develop are both statistically sound and practically relevant. Collaboration usually involves joint problem definition, sharing data insights, and iterative feedback on model performance. Statistical learning experts contribute their knowledge of algorithms and statistical methods, while data scientists handle data pre-processing and engineering, and domain experts provide context to interpret results. This multidisciplinary teamwork helps ensure that solutions are robust and actionable for stakeholders.
What is the difference between Statistical Learning vs Data Analyst?
| Aspect | Statistical Learning | Data Analyst |
|---|---|---|
| Required Credentials | Degree in Statistics, Data Science, or related fields | Degree in Statistics, Data Science, Business, or related fields |
| Work Environment | Research, academia, tech companies, data science teams | Business, marketing, finance, healthcare organizations |
| Employer & Industry Usage | Tech firms, research institutions, startups | Corporations, consulting firms, government agencies |
| Common Search & Comparison | Statistical Learning vs Data Analyst |
Statistical Learning focuses on developing models and algorithms to understand data patterns, often requiring advanced statistical and programming skills. Data Analysts interpret data to generate reports and insights, typically emphasizing data visualization and business understanding. While both roles analyze data, Statistical Learning is more research-oriented and technical, whereas Data Analysts focus on practical data interpretation for decision-making.
What will I become if I study statistical learning?
Studying statistical learning can lead to roles such as data scientist, data analyst, machine learning engineer, or statistician. These positions involve analyzing data, building predictive models, and applying statistical methods using tools like R or Python in various industries.
What are popular job titles related to Statistical Learning jobs in California?
For Statistical Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Statistical Learning jobs in California look for?
The top searched job categories for Statistical Learning jobs in California are:
What cities in California are hiring for Statistical Learning jobs?
Cities in California with the most Statistical Learning job openings:
Full-time
Posted 11 days ago
Apple rating
8.0
Based on 677 frontline employees who took The Breakroom Quiz
7th of 30 rated technology retailers
Job description
At Apple, we strive every day to create products that enrich people's lives. Our Advertising Platforms group enables users worldwide to discover new content seamlessly while empowering publishers and developers to promote and monetize their work. Our technology powers advertising in the App Store and Apple News, delivering highly-performant, privacy-first solutions that set new industry standards. We're seeking a dynamic and strategic engineering manager to drive innovation in Ads Recommendations. This role requires a deep understanding of Ad network behavior and the ability to develop and prioritize an innovation roadmap that spans multiple technical domains. You'll lead a team that designs, develops, and delivers innovative capabilities, differentiating Apple Ads and driving key business outcomes.
Description
As a Machine Learning Engineering Manager / Tech Lead Manager, you'll be responsible for building the next generation advertiser recommendation engine to enable advertisers to optimize for their campaign performance goals on Apple Ads. You will work with a variety of cross functional business partners to set strategy and bring end-to-end solutions that scale as we grow. In addition, you will have the opportunity to play a critical role in influencing the roadmap and technical strategy in allied areas like campaign optimization, auction optimization, etc., all of which are critical for delivering an enhanced experience for advertisers on our platform.
- Define and implement the technical strategy for building the next generation recommendation engine to help advertisers optimize for their campaign performance goals.
- Leverage innovative research and technology including the latest GenAI and agentic approaches to deliver these capabilities at scale.
- Play a critical role in shaping the strategy and roadmap for allied areas like campaign optimization, auction optimization, etc., to deliver an optimal end-to-end experience for advertisers.
- Design and analyze sophisticated algorithms to deliver incremental improvements that are privacy compliant.
- Execute and analyze A/B tests and pilots to drive continuous improvements in advertiser-facing applications.
- Work closely with engineering and business teams to scale innovations, improving advertiser experience and monetization potential across Apple Ads.
- Operate at utmost scale, ensuring efficient and reliable model deployment and execution.
- Architect and scale intelligence systems, addressing operational concerns and performance optimizations.
- Lead, mentor, and grow a talented team of engineers, setting technical direction and execution cadence.
Minimum Qualifications
8+ years of experience in machine learning, statistics, and quantitative optimization, with at least 2-3 years as a tech lead or at least 1 year as an engineering manager.
Track record of leading machine learning engineering teams from design to implementation, ensuring scalability and reliability.
Deep understanding of modern machine learning techniques, statistics, and quantitative optimization.
Experience working with operational teams on deployment, monitoring, and system management.
Experience running A/B tests and pilots for sales / advertiser-facing applications.
Experience building GenAI and agentic systems.
Hands-on experience with Python or Java in a production environment.
Proficiency in databases, SQL, and scripting languages for data processing and model deployment.
BS, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field.
Preferred Qualifications
5+ years of experience leading teams that apply advanced statistical/ML methods.
Previous experience in the online advertising domain is a big plus.
MS/PhD, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field.
Description
As a Machine Learning Engineering Manager / Tech Lead Manager, you'll be responsible for building the next generation advertiser recommendation engine to enable advertisers to optimize for their campaign performance goals on Apple Ads. You will work with a variety of cross functional business partners to set strategy and bring end-to-end solutions that scale as we grow. In addition, you will have the opportunity to play a critical role in influencing the roadmap and technical strategy in allied areas like campaign optimization, auction optimization, etc., all of which are critical for delivering an enhanced experience for advertisers on our platform.
- Define and implement the technical strategy for building the next generation recommendation engine to help advertisers optimize for their campaign performance goals.
- Leverage innovative research and technology including the latest GenAI and agentic approaches to deliver these capabilities at scale.
- Play a critical role in shaping the strategy and roadmap for allied areas like campaign optimization, auction optimization, etc., to deliver an optimal end-to-end experience for advertisers.
- Design and analyze sophisticated algorithms to deliver incremental improvements that are privacy compliant.
- Execute and analyze A/B tests and pilots to drive continuous improvements in advertiser-facing applications.
- Work closely with engineering and business teams to scale innovations, improving advertiser experience and monetization potential across Apple Ads.
- Operate at utmost scale, ensuring efficient and reliable model deployment and execution.
- Architect and scale intelligence systems, addressing operational concerns and performance optimizations.
- Lead, mentor, and grow a talented team of engineers, setting technical direction and execution cadence.
Minimum Qualifications
8+ years of experience in machine learning, statistics, and quantitative optimization, with at least 2-3 years as a tech lead or at least 1 year as an engineering manager.
Track record of leading machine learning engineering teams from design to implementation, ensuring scalability and reliability.
Deep understanding of modern machine learning techniques, statistics, and quantitative optimization.
Experience working with operational teams on deployment, monitoring, and system management.
Experience running A/B tests and pilots for sales / advertiser-facing applications.
Experience building GenAI and agentic systems.
Hands-on experience with Python or Java in a production environment.
Proficiency in databases, SQL, and scripting languages for data processing and model deployment.
BS, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field.
Preferred Qualifications
5+ years of experience leading teams that apply advanced statistical/ML methods.
Previous experience in the online advertising domain is a big plus.
MS/PhD, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field.
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