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Ml Data Operations Lead jobs at Apple
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1,630 jobs found
09.09.2025
A
Apple Senior Data Scientist - Experimentation United States, West Virginia
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Description:
- 8+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference. Industry experience in SDLC is preferred.
- Analysis: Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights and improve treatment effect estimates.
- Experience with A/B testing infrastructure and methodologies and deep understanding of the assumptions of randomized control trials. Experience in marketplace experimentation is a bonus.
- Familiarity with causal machine learning tools and technologies. Well versed in observational causal techniques like regression, propensity score matching, Diff in Diff, regression discontinuity and instrumental variables.
- Design and analyze controlled experiments or counterfactual causal inference studies to estimate the incremental and long term impact of interventions. Experience in measuring advertiser value from campaigns or algorithmic changes is a huge plus.
- Proficiency in SQL and Pyspark or Scala to conduct analyses and build data products (pipelines and dashboards) to automate experiment reporting at scale.
- Lead the design, development, and maintenance of scalable and reliable data pipelines. Implement robust data quality checks, monitoring systems, and data lineage tracking. Advocate best practices for data engineering.
- Strategic Partnership: Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact questions.
- Advanced Degree in Computer Science, Statistics, Applied Math or related field.
- Skilled at operating in a cross-functional organization.
- Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
- Curious business attitude with a proven ability to seek projects with a sense of ownership.
- Excellent communication, social and presentation skills.
- Desire to work in a fast-paced and challenging work environment.
- Mentor junior engineers and scientists on the team.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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09.09.2025
A
Apple AIML - Sr/Staff ML Engineer Machine Learning Platform & Inte... United States, West Virginia
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Description:
- 7+ years of coding skills
- Background in computer science: algorithms and data structures
- Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes
- Proficient in designing, developing, and deploying high-performance, reliable, and scalable software solutions in production
- Excellent interpersonal skills able to work independently as well as in a team
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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09.09.2025
A
Apple EMEIA Education Sales Development & Operations Executive United States, West Virginia
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Description:
As a Sales Development & Operations Executive, you will be responsible for developing new initiatives to support the growth plan of the EMEIA Education Sales segment whilst leading established end-to-end business processes. The successful candidate will have the ability to work effectively and efficiently across multiple organisations.
- Problem-Solving Skills: Ability to identify bottlenecks and propose effective solutions. Inherent curiosity to connect the dots,
- Cross-Functional Collaboration: experience working with sales, finance and IT teams.
- Project Management: strong organisational skills to handle multiple projects and deadlines with a strategic mindset and exceptional attention to detail.
- Business Acumen: Solid understanding of sales cycles, key metrics, and KPIs and understanding broader business strategies and market trends.
- Adaptability: Flexibility to adjust to evolving processes, new tools, and shifting priorities.
- understand all aspects of business operations, and uncover new opportunities to do things better and quicker.
- Communication: exceptional verbal and written communication skills, with the ability to distill complex analyses into clear, actionable business insights.
- Sales Process Knowledge: Experience with data visualisation tools: Tableau dashboard design, development, and publishing.
- Experience with CRM systems (e.g. Salesforce) is a plus
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09.09.2025
A
Apple CPU Implementation Lead Engineer United States, West Virginia
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Description:
As a CPU Implementation Lead Engineer, you will own or participate in the following: • CPU IP delivery. • Work with multi-functional engineering teams to implement and validate physical design in the aspects of timing, power, area, electrical analysis, functionality, reliability, and testability.• Work extensively with the partition implementation team to make area/frequency/performance/power tradeoffs and remove bottlenecks in meeting design targets and delivery schedule.• Participate in the definition and enhancement of RTL-to-GDS flow through synthesis and place-and-route targeting aggressive targets for power, performance, and area.• Mentor junior engineers.
- Minimum BS and 10+ years of relevant industry experience
- Experience in driving chip implementation from definition phase to silicon correlation
- Experience working with cross-functional teams spanning technology, architecture, RTL & Physical design
- Experience in synthesis & place-and-route
- Familiarity with high performance microprocessor architecture fundamentals
- Experience in leading initiatives for improving power, performance, & area on CPUs
- Knowledge of logic design principles along with timing and power implications
- Understanding of low power microarchitecture and implementation techniques
- Experience with scripting in Perl and/or TCL
- Design experience in deep submicron technologies and basic transistor level design and device physics
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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09.09.2025
A
Apple Senior Data Scientist - Business Analytics United States, West Virginia
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Description:
- Define and guide analysis for the entire lifecycle of media advertising products, from sales planning to ad delivery and performance.
- Lead partnerships with cross functional teams to define collaboration model and outline business needs into data and analysis requirements.
- Translate ambiguous business requirements into actionable insights with an uncompromising emphasis on accuracy.
- Lead the inventory management process and develop a comprehensive strategy, defining the supply availability at various News/Media topics.
- Lead business analytics projects through all phases, including defining investigations, exploring data, conducting analysis, interpreting, and presenting results for customers.
- 8+ years of Business Analytics or News/Media advertising experience.
- Strong data analysis skills to conduct deep dives by applying data science to generate actionable insights.
- Exceptional communication skills, with the ability to communicate complex analyses in a clearly to executive leadership and technical audience.
- Demonstrated ability to collaborate with advertisers to design tests to demonstrate effectiveness of Apple Ads, collaborate with sales and product leadership to manage ads inventory, and collaborate with product leadership to solve challenging product problems.
- Proficiency in SQL, python and familiarity with data stores such as Hadoop and Snowflake.
- Bachelor's degree in a related field of study, or equivalent industry experience.
- 11+ years of Business Analytics or News/Media advertising experience.
- Experience and knowledge of ad tech, digital and mobile advertising experience is a big plus.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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09.09.2025
A
Apple Security Software Engineer Data Protection United States, West Virginia
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Description:
- Excellent C and systems programming skills
- Strong understanding of operating systems internals
- Industry exposure to and knowledge of OS security and applied cryptography
- Ability to deliver solid work on tight schedules
- Excellent teamwork skills. We work with all engineering teams involved in these products, and on all of their code
- Understanding of past, current, and emerging security exploits
- iOS and macOS exposure (end user, administrator, developer)
- Kernel programming
- Hypervisor design and architecture
- Involvement in open source technologies and development communities such as FreeBSD and Linux
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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09.09.2025
A
Apple Software Engineer Technical Operations & Site Reliability Co... United States, West Virginia
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Description:
- Experience in using AI and Large Language Models (LLMs) to enhance operational efficiency through tasks such as model training, optimisation (including areas like Model Context Protocol or similar methods), and designing effective model utilities.
- Understanding of standard networking protocols and components such as: HTTP, DNS, TCP/IP, ICMP, the OSI Model, Subnetting and Load Balancing.
- Experience in Java, JEE, REST, Swift/Objective C, database schema design and data access technologies.
- Experience in driving operations teams for large scale mission critical applications working in a 24x7 operations across multiple locations and geographies.
- Experience in interpreting data from systems like Hubble, ExtraHop, Splunk and other monitoring tools along with hands on experience of production monitoring systems, log analysis, troubleshooting, support dashboards and proficiency in scripting languages and automation tools.
- Excellent interpersonal skills. Proactive, with a strong sense of personal ownership.
- Bachelor’s degree in Engineering or equivalent.
- Experience in strategising and achieving operational excellence in global distributed systems.
- Fundamental understanding of distributed systems including: Micro services, Messaging Brokers and Versioning.
- Understanding of the Linux Operating System, including Kernel, Memory, Process, Threads, Static / Shared Libraries, IPC and Signals.
- Excellent organisational and documentation skills.
- Worried that you don’t quite tick all the above boxes? If you are excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to apply anyway. You may very well be the right candidate.
Expand
Share
Description:
- 8+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference. Industry experience in SDLC is preferred.
- Analysis: Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights and improve treatment effect estimates.
- Experience with A/B testing infrastructure and methodologies and deep understanding of the assumptions of randomized control trials. Experience in marketplace experimentation is a bonus.
- Familiarity with causal machine learning tools and technologies. Well versed in observational causal techniques like regression, propensity score matching, Diff in Diff, regression discontinuity and instrumental variables.
- Design and analyze controlled experiments or counterfactual causal inference studies to estimate the incremental and long term impact of interventions. Experience in measuring advertiser value from campaigns or algorithmic changes is a huge plus.
- Proficiency in SQL and Pyspark or Scala to conduct analyses and build data products (pipelines and dashboards) to automate experiment reporting at scale.
- Lead the design, development, and maintenance of scalable and reliable data pipelines. Implement robust data quality checks, monitoring systems, and data lineage tracking. Advocate best practices for data engineering.
- Strategic Partnership: Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact questions.
- Advanced Degree in Computer Science, Statistics, Applied Math or related field.
- Skilled at operating in a cross-functional organization.
- Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
- Curious business attitude with a proven ability to seek projects with a sense of ownership.
- Excellent communication, social and presentation skills.
- Desire to work in a fast-paced and challenging work environment.
- Mentor junior engineers and scientists on the team.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Expand
These jobs might be a good fit
Discover your dream career in the high tech industry with Expoint. Our platform offers a wide range of Ml Data Operations Lead jobs opportunities, giving you access to the best companies in the field, like Apple. With our easy-to-use search engine, you can quickly find the right job for you and connect with top companies. No more endless scrolling through countless job boards, with Expoint you can focus on finding your perfect match. Sign up today and follow your dreams in the high tech industry with Expoint.