Description:
Software Engineer, Machine Learning
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 Client 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 Client-related field
Exposure to architectural patterns of large scale software applications
Experience with scripting languages such as Pytorch and TF
Surrounding team & key projects:
Providing AI - to empower products in enterprise engineering.
Work around a wide set of problems such as feature based machine learning, search recommendation, computer vision and more recently gen AI at Client.
Generate data, and produce insight to make models more efficiency
Client Experience
Difficulties that the candidate should be aware they may face in the role and need to be able to handle to be successful in the role:
Building data and Client products, working in a large organization- candidate needs to be balanced, need to be technical but have strong soft skills
As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.
