Remote Machine Learning Engineer

Company Description

Fortune Top 10 companies in the world

Job Description

Title                                      : Machine Learning Engineer

Location                               : Remote (PST/CST Only)

Nature of employment    : 12 months- potential for extension up to 2 years

Direct client

Internal job id: FT0770

Software Engineer, Machine Learning

We are embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.

The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and challenging problems in the industry.

Responsibility

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

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

Suggest, collect and synthesize requirements from XFN teams

Code deliverables in tandem with the engineering team

Minimum Qualifications

6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD

2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field

Experience with scripting languages such as Python, Javascript or Hack

Experience with developing machine learning models at scale from inception to business impact

Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts

Experience building and shipping high quality work and achieving high reliability

Track record of successful cross-functional partnerships

Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes

Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications

Masters degree or PhD in Computer Science or another ML-related field

Exposure to architectural patterns of large scale software applications

Experience with scripting languages such as Pytorch and TF

TOP 3 SKILLSETS:

1. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across team

2. Experience with scripting languages such as Pytorch and TF

3. Masters degree or PhD in Computer Science or another ML-related field

Candidate Requirements:

Must-Have Skills:

1. 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field

2. Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts

3. Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes

Nice-to-have Skills:

Exposure to architectural patterns of large scale software applications

Experience with scripting languages such as Pytorch and TF

Qualifications

PyTorch, TensorFlow, C/C++, Java or Python

Additional Information

All your information will be kept confidential according to EEO guidelines.