Machine Learning Engineer
4 weeks ago
We are seeking a skilled Machine Learning Engineer to join our team. As a key member of our engineering team, you will play a critical role in developing and maintaining our background checking technologies.
Company Overview:
At Edjuster, we pride ourselves on delivering high-quality products that meet the evolving needs of our customers. Our team is passionate about using technology to solve real-world problems, and we are committed to making a positive impact in the industry.
Salary:$140,000 - $180,000 per year
Job Description:
Responsibilities:- Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
- Suggest, collect, and synthesise requirements and create an effective feature roadmap for Edjuster's background checking technologies.
- Code deliverables in tandem with Edjuster's engineering team.
- Adapt standard image processing and machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU).
- MS degree in Computer Science or related quantitative field with 3-5 years of relevant experience or PhD degree in Computer Science or related quantitative field.
- Coding experience in at least two of C, C++, Lua, Java, Python.
- Experience with Git, writing shell scripts, and working in a Unix environment.
- Experience in at least one of the machine learning libraries Torch, Theano, Caffe or similar.
- Experience in at least one of the following areas: Computer Vision, Machine Learning.
- Experience in at least one of the following areas: Face Verification, Voice Verification, Deep Learning, Natural Language Processing.
- Share options.
- A fully stocked kitchen with unlimited breakfast, drinks, snacks, and fresh fruit every day.
- Unlimited budget for any software or books you need.
- Subsidised gym membership, free yoga classes, and company 5-a-side football league.
- Monthly company dinners at some of the hottest restaurants in London.
- Quarterly socials (including cookery classes and private cinema trips).
- Friday afternoon drinks.
- Relaxed & informal office environment.
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