Software Engineer (Leadership) - Machine Learning

Meta; London; On-site; GBP 125,000 - 150,000; Full time

Job summary

A leading social media company in London is seeking a Machine Learning Engineer to drive projects and develop scalable solutions. The ideal candidate has significant experience in machine learning, programming (Python, C++, Java, or R), and mentoring. This role involves collaborating across functions to build impactful technologies and requires a Bachelor's degree in Computer Science or a related field. Exciting challenges await in leveraging massive social data for innovative solutions.

Qualifications

• Experience leading projects with industry-wide impact.
• Proven track record of long-term planning and project vision.
• Significant experience in machine learning and data mining.

Responsibilities

• Drive the team's goals and technical direction.
• Develop scalable classifiers and tools leveraging machine learning.
• Identify new opportunities and influence staffing/prioritization.

Skills

Industry-wide project leadership

Cross-functional collaboration

Programming in Python, C++, Java, or R

Mentoring senior engineers

Machine learning expertise

Education

B.S. Computer Science or related field

Tools

Hadoop

Spark

Job description

Summary:

Facebook is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.

Required Skills:

Software Engineer (Leadership) - Machine Learning Responsibilities:

1. Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient

2. Effectively communicate complex features and systems in detail

3. Understand industry & company-wide trends to help assess & develop new technologies

4. Partner & collaborate with organization leaders to help improve the level of performance of the team & organization

5. Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas

6. Suggest, collect and synthesize requirements and create an effective feature roadmap

7. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models

8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)

Minimum Qualifications:

Minimum Qualifications:

1. Experience leading projects with industry-wide impact

2. Vast experience communicating and working across functions to drive solutions

3. Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term-vision

4. Experience in driving large cross-functional/industry-wide engineering efforts

5. Significant experience in programming languages (Python, C++, Java, or R) with a technical background

6. Significant experience in mentoring/influencing senior engineers across organizations

7. Significant experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining, or artificial intelligence

Preferred Qualifications:

Preferred Qualifications:

1. B.S. Computer Science or related technical field

2. Experience in shipping products to millions of customers or have started a new line of product

3. Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark

Industry: Internet