Full Time Machine Learning Data Annotation Jobs in Texas

At Apple, our greatest resource is our people, and the People Analytics Team is dedicated to ensuring Apple’s employees are able to do the best work of their lives.
Our team is looking for a Machine Learning Engineer who is passionate about crafting, implementing, and operating analytical and machine learning solutions that have direct and measurable impact to Apple and its employees.
As a Machine Learning Engineer on Apple's People Analytics Team, you will employ predictive modeling, statistical analysis, and advanced analytical techniques to support solutions for talent management, employee surveys, compensation, and recruiting.
Apple's dedication to privacy, the human-centric nature of our work, and the scale of our business present exciting challenges to traditional machine learning and data science methods. On this team, you will push the limits of existing approaches while delivering tangible business value.
Description
As a Machine Learning Engineer on our team will engage with our business partners to understand their problems, design data-driven solutions, and produce proof-of-concept and prototype solutions. They will collaborate with data engineers and system architects to implement these solutions in a production environment, and be responsible for the ongoing analytic operation of these solution.
","responsibilities":"Design data science / machine learning approaches, applying tried-and-true techniques or developing custom algorithms as needed by the business problem.
Collaborate with data engineers and platform architects to implement real-time and batch decisioning solutions in production.
Ensure operational and business metric health by monitoring production decision points.
Develop metrics to measure performance of analytics solutions, and regularly communicate results to business partners and executives.
Research new technologies and methods across machine learning, data engineering, and data visualization to improve the technical capabilities of the team.
Preferred Qualifications
Ph.D. in I-O Psychology, Economics, Operations Research, Computer Science, or Statistics with a data science fellowship or prior professional experience as a data scientist
Experience working with employee data or HR systems
Minimum Qualifications
MS with 5+ years of professional experience applying data science to real-world business problems
Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection
Proficiency in writing SQL queries involving database joins and analytical/window functions
Ability to implement data science pipelines, analyses, and applications in a programming language such as Python or R
Prior experience working with employee data or HR systems
Experience with natural language processing (sentiment, topic identification, summarization, entity extraction) and network analysis a plus.
Ability to translate business processes and data into an analytic solution.
Ability to comprehend and debug complex systems integrations spanning multiple toolchains and teams
Ability to extract meaningful business insights from data and identify the stories behind the patterns
Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways
Creativity to engineer novel features and signals, and to push beyond current tools and approaches
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.