Machine Learning - Research Scientist | Remote job opportunities

Key responsibilities are as follows:

Develop scalable classifiers and tools using machine learning, regression, and rules-based models.
Collect and synthesize requirements to create effective feature roadmaps.
Build strong cross-functional partnerships and deliver code with the engineering team.
Adapt machine learning methods for modern parallel environments like distributed clusters and GPUs.
Perform specific responsibilities that vary by team.

Ideal candidates will have:

A degree in Computer Science, Machine Learning, or a related field.
Experience in programming languages and frameworks such as PyTorch or TensorFlow.
Proven ability to translate insights into business recommendations.
Experience with scripting languages like Python or JavaScript.
Work authorization in the country of employment.

Demonstrated software engineer experience via an internship, work experience, coding competitions, or contributions in open source repositories (e.g. GitHub).
Proven track record of achieving results as demonstrated by grants, fellowships, patents, and first-authored publications at workshops or conferences such as ICML, NIPS, KDD, or similar.
Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
Interpersonal experience working and communicating cross-functionally in a team environment.
Exposure to architectural patterns of large-scale software applications.
Research-focused Master's degree in ML areas.

Meta offers competitive salaries, bonuses, comprehensive healthcare, and various perks to support well-being and work-life balance.

Opportunities for professional growth through development programs and mentorships are provided to enhance skills and career advancement.

Potential for career advancement in machine learning and related fields, with opportunities to lead projects and teams over time.