AI/ML- Senior ML Engineer, ML Systems Evaluation Engineering en Madrid, Madrid, Spain
High-quality software and complex ML models require dynamic and sophisticated automation to evaluate them. The ML Systems Evaluation Engineering (ML SEE) team, within the AI/ML org at Apple, is looking for an exceptional ML Engineer to evaluate our systems and deliver the best experience for our customers across the world. This exciting role will bridge knowledge, and experience from software engineering to the ML world, combining the best of both to build robust, extensible and efficient systems to evaluate ML products at scale. In this role, you will have the opportunity to design, plan and implement the statistical evaluation strategy of cutting-edge machine learning models. You will work closely with software engineers and machine learning experts to enhance the evaluation methodology for ML. You will use your experience in ML to create and develop innovative automated QA solutions. You will operate in a highly cross-functional environment to keep pushing the boundaries of existing automation and ML evaluation. If you are committed in delivering a first-class customer experience, and are a skilled and passionate software engineer, this role will give you an exciting opportunity to apply your expertise to an entirely new problem space.
Descripción del empleo
- Strong experience with ML evaluation methodologies applied to large-scale production systems.
- Experience with NLP/NLU.
- Hands-on experience designing, developing and assessing new solutions using machine learning techniques.
- Excellent understanding of an ML-based product lifecycle.
- Strong understanding of algorithms and software design.
- Solid experience with CI/CD automation tools such as TeamCity or Jenkins.
- Strong communication skills to work well with cross-functional engineering teams.
- Ability to work in a fast-paced environment with rapidly changing priorities.
- Hands-on experience in defining evaluation plans with clear understanding of quality gates and metrics.
- Experience with analyzing user behavior and driving continuous improvement is a plus.
- Experience with Agile Development methodologies.
- *Native speaker for one for the Siri supported languages, with knowledge of related culture and current cultural trends.
- *Experience with Apple ecosystem.
- * Experience with ML tools such as PyTorch or TensorFlow.
- *Experience with logging and debugging tools i.e., Grafana, Splunk, shell scripting
- *Ability to debug issues specially in Unix base embedded software.
Información extra
- Status
- Inactiva
- Localización
- Madrid, Madrid, Spain
- Tipo de contrato
- Tiempo completo
- Tipo de trabajo
- Cajero
- Carnet de conducir
- No
- Vehículo
- No
- Carta de motivación
- No
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