Machine Learning Research Engineer jobs in United States
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SS&C Technologies · 1 day ago

Machine Learning Research Engineer

SS&C Technologies is a leading financial services and healthcare technology company headquartered in Windsor, Connecticut. They are seeking a talented Machine Learning Research Engineer to join their innovative R&D team, where the role involves researching, designing, and implementing advanced machine learning algorithms and models to enhance their intelligent automation platform.

Cloud ManagementEnterprise SoftwareFinanceFinancial ServicesHealth CareProfessional ServicesSoftwareSoftware Engineering
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H1B Sponsor Likelynote

Responsibilities

Conduct research into novel machine learning algorithms, deep learning architectures, and statistical models relevant to intelligent automation, natural language processing, computer vision, and predictive analytics
Design, develop, and implement robust and scalable machine learning models and pipelines, from data ingestion and feature engineering to model training, evaluation, and deployment
Collaborate with product managers and other engineering teams to translate research findings into production-ready features and components for Blue Prism's platform
Evaluate the performance of machine learning models, analyze results, and iteratively refine models for improved accuracy, efficiency, and real-world applicability
Stay abreast of the latest advancements in machine learning research and industry best practices, actively contributing to the company's knowledge base and innovation strategy
Participate in code reviews, contribute to technical documentation, and mentor junior engineers on machine learning principles and techniques
Experiment with and develop solutions for challenging problems in areas such as anomaly detection, process mining, intelligent document processing, and human-in-the-loop AI

Qualification

Machine LearningDeep LearningPythonMLOpsCloud PlatformsStatistical ModelingAnalytical ThinkingProblem-SolvingCommunication Skills

Required

PhD or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a closely related quantitative field
Proven experience (3+ years) in a machine learning research or engineering role, with a strong portfolio of projects demonstrating practical application of ML techniques
Expertise in programming languages such as Python, with proficiency in relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy)
Solid understanding of machine learning fundamentals, including supervised/unsupervised learning, reinforcement learning, deep learning, and statistical modeling
Experience with cloud platforms (e.g., Azure, AWS, GCP) and MLOps practices for deploying and managing ML models in production
Strong problem-solving skills, analytical thinking, and the ability to conduct independent research
Excellent communication skills, both written and verbal, with the ability to articulate complex technical concepts to diverse audiences
Ability to work effectively in a collaborative, fast-paced, and agile environment

Preferred

Familiarity with data processing and big data technologies (e.g., Spark, Hadoop) is a plus

Company

SS&C Technologies

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SS&C is a global provider of investment and financial software-enabled services and software focused exclusively on the global financial

H1B Sponsorship

SS&C Technologies has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (105)
2024 (59)
2023 (74)
2022 (35)
2021 (30)
2020 (21)

Funding

Current Stage
Public Company
Total Funding
$750M
2024-05-02Post Ipo Debt· $750M
2005-07-27Acquired
1996-05-31IPO

Leadership Team

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Anthony Caiafa
Global CTO / CIO
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Brian Schell
Executive Vice President and Chief Financial Officer
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Company data provided by crunchbase