Machine Learning Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

I can succeed as a Machine Learning Engineer at Capital Group.

Do you want to drive global impact through a company with nearly $2 trillion assets under management? Do you want to help millions of families reach their financial goals? Do you want to help build our next generation investment platform? Would you like to leverage the latest open source software running in AWS?

We are seeking a Software Development Engineer to help build the next-generation search and discovery platform for our investment professionals. This role will collaborate directly with senior investment professionals and technology associates, creating and implementing detailed quality technical designs using existing and emerging technology platforms. The ideal candidate will be passionate about our mission and will drive for superior long-term investment results. The ideal candidate will apply modern engineering and analytical methods to deliver customer-focused value.

Responsibilities:

• You will independently implement new features in a highly collaborative work environment alongside product managers and fellow engineers.
• You will write legible, efficient, and performant code.
• You will collaborate with business partners and internal customers.
• You will share technical solutions and product ideas through team planning, design review, pair programming, code review, and technical discussions.
• You will take on projects and make software enhancements that improve team software and processes.
• While you are an agent of change with a sense of urgency, you are respectful of what came before.

Requirements:

• 7+ years’ experience with at least one modern programming language such as Java, Python, C++ or C#. Strong OO or Functional design skills with understanding of common design patterns.
• Outstanding communication skills, ability to establish and maintain a close working relationship with distributed team members and business partners.
• Experience solving “full stack” machine learning problems, from data collection to model training to deployment. Must have experience using machine learning or NLP to solve real business problems.
• Experience in one or more machine learning subfield, such as NLU (e.g., question answering, information extraction, summarization, text classification), recommender systems, ranking and relevance, optimization, etc.
• Strong computer science fundamentals including data structures, algorithms, and complexity analysis.
• Excellent knowledge of software engineering best practices (e.g. Agile software development, test-driven development, unit testing, code reviews, design documentation, etc…)
• Willingness and ability to own all stages of the development process: design, testing, implementation, operational support. 
• Knowledge of data stores, SQL and No-SQL preferred.
• Experience with AWS services (S3, containers – ECS & EKS, Lambda, Elasticsearch) preferred.