The speed of technology. The influx of data. Shifting regulations. Increased customer expectations.
That's where you'll find SS&C, helping clients find opportunity in ever-changing and complex customer, business, and regulatory requirements. Mastering complexity is a constantly changing and evolving challenge – one that only a few people can embrace and thrive upon.
If you see your opportunity in complexity, then we are the right fit for you.Job Description: Machine Learning Engineering Lead
The engineering team at Vidado is looking for a seasoned machine learning expert to join our team of research engineers. This is a position with high impact, where you'll have the opportunity to collaborate with senior ML engineers and product managers to build the next generation of our AI solutions. Our team is a group of problem-solvers who do what it takes to solve challenging problems in machine learning and computer vision.
We've applied deep learning to our dataset of billions of images to build a best-in-class paper digitization engine, and we're looking for someone to help build the next generation. If you're excited about solving real-world problems and making an impact on our customers using large datasets and cutting-edge machine learning, this is the position for you.
Own the entire machine learning stack, from data curation to research to production to evaluation
Collaborate with senior machine learning engineers to solve real-world problems
Mentor application engineers and junior ML engineers
Collaborate with product team to define ML vision and own ML roadmap
Shape machine learning strategy
Collaborate with other engineering teams to ship machine learning into production
PhD in computer science, machine learning, statistics, data science, or similar field, or equivalent industry/bootcamp experience
3+ years experience developing and deploying machine learning in production systems
Strong computer science fundamentals: data structures, algorithms, and distributed systems
Strong written and verbal communications skills
Experience with deep learning and computer vision preferred
Experience with distributed processing systems, cloud-based technologies, specifically AWS is a plus
SS&C is an equal opportunity employer and values a diverse and inclusive workplace. All qualified candidates will receive consideration for employment without regard to age, race, color, religion, genetic information, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. For more information about Equal Opportunity in the Workplace please click here and here. SS&C is committed to working with and providing reasonable accommodation to job applicants with disabilities. If you are a qualified individual with a disability and need an accommodation or accessibility assistance to complete the online application, please contact us at PeopleCenter@dstsystems.com for assistance.
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