SYSTEM ENGINEER
Santa Monica, CA · On-site
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 ...
SYSTEM ENGINEER
Santa Monica, CA · On-site
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 ...
(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 ...
(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
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 ...
Machine Learning Engineer
San Jose, CA · On-site
Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts. * Proficient in one or more programming languages such as Python, Java and C * Familiar with ...
Machine Learning Engineer
San Jose, CA · On-site
Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts. * Proficient in one or more programming languages such as Python, Java and C * Familiar with ...
Machine Learning Engineer
San Jose, CA · On-site
Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts. Proficient in one or more programming languages such as Python, Java and C. Familiar with one ...
Machine Learning Engineer
San Jose, CA · On-site
Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts. Proficient in one or more programming languages such as Python, Java and C. Familiar with one ...
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.
Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts. * Proficient in one or more programming languages such as Python, Java and C * Familiar with ...
Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts. * Proficient in one or more programming languages such as Python, Java and C * Familiar with ...
(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 ...
... 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 ...
Machine Learning Engineer
Sunnyvale, CA · On-site
The role involves developing machine learning applications, deploying models into production, and performing statistical analysis. Candidates should have a background in computer science and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
The role involves developing machine learning applications, deploying models into production, and performing statistical analysis. Candidates should have a background in computer science and ...
Future Consideration
Brisbane, CA · On-site
By developing novel statistical learning methods and applying them to integrate various -omics datasets, Freenome is a leader in modeling specific biological mechanisms to capture disease dependent ...
Future Consideration
Brisbane, CA · On-site
By developing novel statistical learning methods and applying them to integrate various -omics datasets, Freenome is a leader in modeling specific biological mechanisms to capture disease dependent ...
Strong knowledge of system identification, estimation theory, and statistical learning methods. Knowledge of optimal and robust control, adaptive control, model predictive control and/or task and ...
Strong knowledge of system identification, estimation theory, and statistical learning methods. Knowledge of optimal and robust control, adaptive control, model predictive control and/or task and ...
$165K - $185K/yr
... statistical methods and machine learning tools. Requires Ph.D. in Statistics, Applied Mathematics or closely related quantitative field & 1 yr experience in using Python and R to design, develop ...
$165K - $185K/yr
... statistical methods and machine learning tools. Requires Ph.D. in Statistics, Applied Mathematics or closely related quantitative field & 1 yr experience in using Python and R to design, develop ...
CMC Statistician
Berkeley, CA · Hybrid
$165K - $185K/yr
... statistical methods and machine learning tools. Requires Ph.D. in Statistics, Applied Mathematics or closely related quantitative field & 1 yr experience in using Python and R to design, develop ...
CMC Statistician
Berkeley, CA · Hybrid
$165K - $185K/yr
... statistical methods and machine learning tools. Requires Ph.D. in Statistics, Applied Mathematics or closely related quantitative field & 1 yr experience in using Python and R to design, develop ...
CMC Statistician
Berkeley, CA · On-site
$165K - $185K/yr
... statistical methods and machine learning tools. Requires Ph.D. in Statistics, Applied Mathematics or closely related quantitative field & 1 yr experience in using Python and R to design, develop ...
CMC Statistician
Berkeley, CA · On-site
$165K - $185K/yr
... statistical methods and machine learning tools. Requires Ph.D. in Statistics, Applied Mathematics or closely related quantitative field & 1 yr experience in using Python and R to design, develop ...
CMC Statistician
Berkeley, CA · Hybrid
$165K - $185K/yr
... statistical methods and machine learning tools. Requires Ph.D in Statistics, Applied Mathematics or closely related quantitative field & 1 yr experience in using Python and R to design, develop ...
CMC Statistician
Berkeley, CA · Hybrid
$165K - $185K/yr
... statistical methods and machine learning tools. Requires Ph.D in Statistics, Applied Mathematics or closely related quantitative field & 1 yr experience in using Python and R to design, develop ...
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.
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:
SYSTEM ENGINEER
Santa Monica, CA • On-site
Lucid Circuit, Inc.
• Computer and Peripheral Equipment Manufacturing • 1 - 10 employees1 - 10 employees
Other
Posted 23 days ago
Job description
Lucid Circuit is a Santa Monica-based company developing energy-efficient signal processing
and machine learning platforms for aerospace applications. Through significant improvements of onboard processing capabilities, spaceborne and airborne applications can see reduced communication bandwidth requirements and reduced latency for delivery of analytics approaching real-time. Astrum is Lucid Circuit’s line of radiation-tolerant and energy-efficient processors for reliable high-performance cognitive applications in edge devices.
Join Lucid Circuit and help develop aerospace-focused, cognitive edge-resilient processors and tools. As a member of the hardware microelectronics team, you will be responsible for Cell, Block, section layout and verification in mixed-signal designs. You should have proven
experience in creating layout methodologies, flows, and tape-out procedures. 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 technical background is central to this unique opportunity to solve challenging optimization problems at Lucid Circuit.
U.S. Citizenship or permanent resident status is required for this position.
- Implement CI/CD version controlled machine provisioning in lock-step with Developer snapshots
- Develop, deploy and manage resilient remote work infrastructure that supports company technical and administrative activities.
- Maintain rigorous planning, execution, documentation and communication practices
- Develop and manage secure and resilient automated local and off-site backup infrastructure.
- Author, develop, implement and enforce security policies and postures for company compute infrastructure, network infrastructure and physical infrastructure and access control integrity.
- Focus on anticipating, managing and mitigating outsider and insider threats to company infrastructure, systems.
- Streamline procedures through automation project management servers.
- Stand-up, deploy, maintain and monitor servers, metal as a service, virtual machines, digital storage, network infrastructure, local backup and remote backup.
- Stand-up, deploy, secure, maintain and monitor company HPC storage systems and volume managers.
- Create, modify, deploy and enforce enterprise-wide authorization and authentication processes using Hardware Security Modules, Hardware Security Tokens, Cryptographic software and tools.
- Implement and maintain hardware installations, software server deployments, and systems updates.
- Configure, deploy, and maintain High Availability environments for onsite, remote work and offsite use by company staff.
- As appropriate, develop and implement the knowledge, infrastructure and policies to enable the company to become compatible with NIST/CMMC/NISPOM requirements.
- Perform routine network, infrastructure and physical penetration, counter security tests to reinforce company infrastructure and networks.
- Develop programs, scripts as needed in support of the above responsibilities.
- Support the deployment of automated checkpoint and snapshot processes for continuous integration and continuous development in support of hardware, software code bases and heuristic model bases.
- Support automated procedures to collect and report test performance metrics in support of continuous integration and continuous development activities.
- Maintain and increase subject matter expertise and knowledge pertinent to the above responsibilities.
- Collaborate with R&D staff.
Lucid Circuit is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
About Lucid Circuit
Sourced by ZipRecruiter
Industry
Computer and peripheral equipment manufacturing
Company size
1 - 10 Employees
Headquarters location
Santa Monica, CA, US
Year founded
2016