Machine Learning Engineer

EPITEC; California (MO); Hybrid; USD 100,000 - 140,000; Full time

Job summary

Join a forward-thinking company at the forefront of technological transformation as a Machine Learning Engineer. In this pivotal role, you will lead innovative projects that redefine how people connect globally. Your expertise in machine learning, data mining, and software engineering will be essential as you develop scalable solutions and collaborate with top-tier engineers. This is an exciting opportunity to make a significant impact in a rapidly evolving industry, where your contributions will drive excellence and shape the future of technology. If you are passionate about leveraging your skills to solve complex challenges, this role is perfect for you.

Benefits

Vision insurance

Medical insurance

401(k)

Disability insurance

Qualifications

• 8+ years in software engineering or relevant field.
• Experience in machine learning and recommendation systems.
• Proven track record of high-quality work.

Responsibilities

• Adapt standard machine learning methods for modern environments.
• Develop scalable classifiers and tools using ML.
• Collaborate with cross-functional teams for project success.

Skills

Machine Learning

Data Mining

Pattern Recognition

C/C++

Java

Python

Perl

PHP

Shell Scripting

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

PhD in ML-related field

Tools

Pytorch

TensorFlow

Job description

Our client is 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

• 8+ years of experience in software engineering or a relevant field.
• 5+ 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 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

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Industries

  Technology, Information and Media

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Inferred from the description for this job

Vision insurance

Medical insurance

401(k)

Disability insurance

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