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Director Data Analyst Machine Learning Jobs in California

Analyzing the Data: Work closely with product managers, data scientists, and engineers to find opportunities for applying machine learning to drive business impact and enhance Strava's features and ...

Required : • Bachelor's degree in computer science, machine learning, data science, electrical ... analysis Company : True Anomaly develops space security technologies, including spacecraft ...

Design, develop, and deploy machine learning models for predictive analytics, classification, recommendation systems, and NLP applications. * Build and optimize end-to-end ML pipelines for data ...

... data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics. Responsibilities: * Build and ...

... data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics. Responsibilities: * Build and ...

Advantest is seeking a motivated Junior Machine Learning Engineer to support the development of ... Perform feature engineering and exploratory data analysis on semiconductor datasets. * Contribute ...

Create sustainable data science infrastructure and adheres to data analysis/machine learning best ... practices. Perform data cleaning, quality control, exploratory data analysis to gauge the need for ...

Your primary focus will be in applying data mining techniques, doing statistical analysis, and ... We train and deploy new machine learning models regularly and subscribe to data driven decision ...

Your primary focus will be in applying data mining techniques, doing statistical analysis, and ... We train and deploy new machine learning models regularly and subscribe to data driven decision ...

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Director Data Analyst Machine Learning information

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are the most commonly searched types of Data Analyst Machine Learning jobs in California? The most popular types of Data Analyst Machine Learning jobs in California are:
What are popular job titles related to Director Data Analyst Machine Learning jobs in California? For Director Data Analyst Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Director Data Analyst Machine Learning jobs in California look for? The top searched job categories for Director Data Analyst Machine Learning jobs in California are:
What cities in California are hiring for Director Data Analyst Machine Learning jobs? Cities in California with the most Director Data Analyst Machine Learning job openings:
Machine Learning - Data Scientist Lead

Machine Learning - Data Scientist Lead

Apple

Sunnyvale, CA • On-site

Full-time

Posted 12 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Do you have a passion for computer vision and deep learning? Are you excited by the latest advances in multimodal models? The Video Engineering Data Analytics and Quality group is looking for a technical lead with deep expertise in evaluating machine learning and deep learning models, including foundation models and multimodal systems.
In this role, you will design robust evaluation frameworks, mentor a team of engineers and scientists, and drive alignment across Apple's research, engineering, and product teams. You will combine strong analytical thinking, Python expertise, and a deep understanding of statistical evaluation and data quality. You will also help set the technical direction for how we measure and improve the quality of some of Apple's most exciting AI experiences.
BS and a minimum of 10 years relevant industry experience.4+ years of industry or academic experience in machine learning or data science.2+ years of experience leading technical projects or mentoring junior engineers or scientists.Strong experience evaluating supervised, unsupervised, and deep learning models.Hands-on experience with LLMs (such as GPT, Claude, or PaLM) and using them as scoring or judging mechanisms.Familiarity with multimodal models (such as image + text or video + audio) and their evaluation challenges.Proficiency in Python and libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow.Solid understanding of statistical testing, sampling, confidence intervals, and metrics such as precision/recall, BLEU, ROUGE, and FID.
M.S. or Ph.D. in Computer Science, Statistics, Machine Learning, or a related field.Prior experience managing or tech-leading a team of two or more engineers or scientists.Experience with open-source evaluation tools such as OpenEval, ELO-based ranking, or LLM-as-a-Judge frameworks.Familiarity with prompt engineering, few-shot, or zero-shot evaluation techniques.Experience evaluating generative models, such as text or image generation systems.Prior contributions to ML benchmarks or public evaluations.Comfort with giving and receiving feedback in a collaborative, fast-moving environment.Strong communication and documentation skills, with the ability to write technical reports and present to non-technical audiences.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

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