The point where experts and best companies meet
Ml Scientist - Ad Campaign Optimization jobs at Apple
Advance your career in high tech with Expoint. Discover job opportunities as a Ml Scientist - Ad Campaign Optimization and join top companies in the industry such as Apple. Sign up today and take control of your future.
Company (1)
Job type
Job categories
Job title (1)
United States
State
City
632 jobs found
09.09.2025
A
Apple Senior Data Scientist - Experimentation United States, West Virginia
Share
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...
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.
Show more
These jobs might be a good fit
09.09.2025
A
Apple AIML - Sr/Staff ML Engineer Machine Learning Platform & Inte... United States, West Virginia
Share
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...
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.
Show more
These jobs might be a good fit
09.09.2025
A
Apple Senior Data Scientist - Business Analytics United States, West Virginia
Share
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...
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.
Show more
These jobs might be a good fit
09.09.2025
A
Apple ML Engineer - Evaluation Automation Siri AI Quality Engineer... United States, West Virginia
Share
3+ years of proven ability in machine learning, including hands-on work with LLMs. Strong programming skills in Python and experience with ML/NLP libraries. Experience building or fine-tuning LLMs for software...
Description:
Apple has an extraordinary reputation for product quality. We are looking for a versatile Machine Learning Engineer with a strong background in Large Language Models (LLMs) to build the next generation ML evaluation frameworks and tools. In this role, you will use LLMs and other ML techniques to help automate large-scale data generation and evaluation job execution on server or on device, build LLM judges, detect anomalies, and streamline ML evaluation workflows. This is a high-impact role where you'll work at the intersection of AI/ML, conversational agents, information retrieval, software engineering, and ML evaluation, helping us push the boundaries of how AI can transform ML evaluation.
Design and develop machine learning and LLM-based solutions for ML model and system evaluation use cases such as: - Automatic large scale data generation - Automatic UI and Non UI test evaluation - Run evaluation jobs at scale - Build and optimize LLM judges - Intelligent log summarization and anomaly detection - Continuously evaluate and improve model performance through A/B testing, human feedback loops, and retraining- Monitor advances in LLMs and NLP and propose innovative applications within the ML evaluation domain
- 3+ years of proven ability in machine learning, including hands-on work with LLMs.
- Strong programming skills in Python and experience with ML/NLP libraries
- Experience building or fine-tuning LLMs for software engineering tasks
- Understanding of prompt engineering, and retrieval-augmented generation (RAG)
- Experience developing LLM based automated evaluation frameworks
- Excellent knowledge of software testing methodologies & practices
- Experience in Swift/XCTest/XCUITest is preferred
- Ability to thrive in a collaborative working environment within your team and beyond
- Ability to triage problems, prioritize accordingly, and propose resolutions
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
09.09.2025
A
Apple AIML - ML Researcher Foundation Models United States, West Virginia
Share
Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep...
Description:
We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast-growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge. Further, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see you ideas not only published in papers, but also improve the experience of billions of users.
- Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning techniques to products
- Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
- Ability to work in a collaborative environment
- PhD, or equivalent practical experience, in Computer Science, or related technical field
- Web-scale information retrieval
- Human-like conversation agent
- Multi-modal perception for existing products and future hardware platforms
- On-device intelligence and learning with strong privacy protections
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
09.09.2025
A
Apple Speech Scientist / Engineer Interspeech United States, West Virginia
Share
Strong machine learning background in speech and/or language/text/dialogue processing field. In-depth hands-on experience in deep learning. Strong software engineering abilities, ideally C++, Java, and/or Python. Passion for building research demo...
Description:
- Strong machine learning background in speech and/or language/text/dialogue processing field
- In-depth hands-on experience in deep learning
- Strong software engineering abilities, ideally C++, Java, and/or Python
- Passion for building research demo prototypes and turning them into production quality design/implementation
- Experience with deep learning toolkits, e.g. Tensorflow, PyTorch
- Experience with speaker recognition and related technologies
- Curious about new technologies and passionate about exploring new use cases
PhD, MS, or BS in Machine Learning, Computer Science, or related fields.
Show more
These jobs might be a good fit
09.09.2025
A
Apple Graphics Power Analysis & Optimization Engineer United States, West Virginia
Share
Experience with low power microarchitecture and implementation. Experience with scripting in Python. Experience with PowerArtist and/or PTPX. BS degree and minimum of 10+ years of relevant experience. Experience in product...
Description:
- Experience with low power microarchitecture and implementation.
- Experience with scripting in Python.
- Experience with PowerArtist and/or PTPX.
- BS degree and minimum of 10+ years of relevant experience.
- Experience in product level power budgeting and projection.
- Experience in writing, simulating and debugging RTL designs.
- Experience in low power ASIC design and implementation techniques.
- Experience in data mining applications to power modeling & triage.
- Experience in power use-case definition and analysis.
- Experience in post-silicon power correlation.
- Experience in power management techniques.
- Excellent communication skills, self-motivated and well organized.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
Share
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...
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.
Show more
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 Scientist - Ad Campaign Optimization 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.