AIML - Machine Learning Engineer, Data & Machine Learning Innovation
AIML - Machine Learning Engineer, Data & Machine Learning Innovation
Posted on :
24-08-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
As a Machine Learning (ML) Engineer you will be entrusted with the critical role of innovating and applying state-of-the-art research in foundation models to tackle complex data problems. The solutions you develop will significantly impact future Apple software and hardware products and the broader ML development ecosystem. You will work with a multidisciplinary team to actively participate in the data-model co-design and co-development practice. Your responsibilities will extend to designing and developing a comprehensive data generation and curation framework for foundation models at Apple. You will also be responsible for creating robust model evaluation pipelines integral to the continuous improvement and assessment of foundation models. Additionally your role will entail an in-depth analysis of multi-modal data to understand its influence on model performance. Furthermore you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues. Your work may span various applications including:- Enhancing current products and future hardware platforms with multi-modal perception data.- Designing and implementing semi-supervised self-supervised representation learning techniques to maximize the power of both limited labeled data and large-scale unlabeled data.- Developing on-device intelligence and learning with strong privacy protections.- Employing data selection techniques such as novelty detection active learning and core-set selection for diverse data types like images 3D models natural language and audio.- Uncovering patterns in data setting performance targets and leveraging modern statistical and ML-based methods to model data distributions. This will aid in reducing redundancy and addressing out-of-distribution samples.- Learning new skills rapidly and applying them as needed e.g. learning a new machine learning algorithm from a research paper and implementing it; mastering basic knowledge from a new domain in a short amount of time.- Providing technical guidance to product teams on choosing appropriate machine learning approaches for tasks.
- Deep technical skills in one or more machine learning areas such as computer vision combinatorial optimization causality analysis natural language processing and deep learning.
- Strong software development skills with proficiency in Python; hands-on experience working with deep learning toolkits like PyTorch TensorFlow or JAX.
- 5 years of experience developing and evaluating ML applications demonstrating a passion for understanding and improving model/data quality.
- Deep understanding of multi-modal foundation models.
- Staying up-to-date with emerging trends in generative AI and multi-modal LLMs.
- The ability to formulate machine learning problems design experiment implement and communicate solutions effectively.
- Hands-on mentality to own engineering projects from inception to shipping products and the ability to work independently and as part of a cross-functional team.
- Demonstrated publication records in relevant conferences (e.g. CVPR ICCV ECCV NeurIPS ICML ICLR etc.).
- Track records of adopting ML to solve cross-disciplinary problems.
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
