Applied ML, Software Engineer - Sensing & Connectivity

As part of this role, you 9ll join a team of software engineers and researchers focused on identifying behavioral patterns and you will help shape new and enhanced user experiences by collaborating closely with teams across sensing, Siri, and apps. Excited to take ownership of complex, end-to-end problems? You 9ll design, build, and evaluate production ML systems that infer a device 9s patterns by inference on date like GPS, Wi-Fi, and accelerometers and higher semantic signals - combining estimation techniques with machine learning. You 9ll test and refine your work, use it yourself, track metrics, and iterate for quality.

Proven experience taking machine learning models through the entire lifecycle-from ideation, data collection, and prototyping to production deployment and monitoring

Demonstrated experience working with time-series analysis, sequential modeling, or spatial-temporal datasets.

Experience handling sparse, irregular, or highly imbalanced data streams typical of real-world sensor or location data

Experience shipping production software for mobile and/or other resource-constrained devices. Tight memory, CPU, and schedule constraints motivate you and ignite your creativity. Capability of creating, analyzing, and modifying SW functionality, ideally in C++/Obj-C/Swift codebases

Experience with libraries like NumPy, pandas, scikit-learn, and PyTorch or TensorFlow.

Hands-on experience with applied probability, statistics, and empirical and/or ML algorithms. Classical estimation, signal processing, and/or training supervised ML models are relevant.

Bachelor 9s or graduate degree in Computer Science, Computer Engineering, Mathematics, or a related field.

Machine Learning algorithms: Strong grasp of supervised/unsupervised learning, regression, classification, clustering, and model evaluation techniques.

Having worked as an ML practitioner in an industrial setting

Laser focus on customer impact and product experience.

Some professional background in location and/or other wireless sensing technologies, including for example, GPS/GNSS, WiFi, indoor localization, and/or discrete localization.

Excellent communication, verbally and in writing. You can succeed in a collaborative environment, and are comfortable with what will sometimes feel like a high degree of uncertainty.

You can innovate within tight memory, CPU, and schedule constraints, and deliver on time. These constraints motivate you, and ignite your creativity.