Machine Learning Engineer - Center of Excellence - Associate at JP Morgan Chase (New York, NY)

The Machine Learning team at JPMorgan Chase combines cutting edge machine learning techniques with the companys unique data assets to optimize all the business decisions we make. In this role, you will be part of our world-class machine learning team, and advance the state-of-the-art in financial applications ranging from pricing and credit models to natural language processing. Our work spans the companys lines of business, with exceptional opportunities in each.

The successful candidate will apply sophisticated machine learning methods to banking applications including risk assessment, trading models, customer relationship management, and pricing models. Machine learning techniques will include feed-forward, recurrent, recursive and convolutional neural networks, maximum entropy models, and other algorithms related to time series analysis and supervised learning.

Responsibilities

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• Develop scalable tools leveraging machine learning and deep learning models to solve real-world problems in areas such as Speech Recognition, Natural Language Processing and Time Series predictions.
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• Collaborate with all of JPMorgan Chase's lines of businesses, such as Investment Bank, Commercial Bank, and Asset Management.
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• Lead your own project. Suggest, collect and synthesize requirements. Create an effective roadmap towards the deployment of a production-level machine learning application.

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• MS or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science. If BS only, 2-5 years of hands-on experience developing machine learning models.
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• Experience in Deep Learning: DNN, CNN, RNN/LSTM, GAN or other auto encoder (AE).
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• Ability to develop and debug in Python, Java, C or C++. Proficient in git version control. R and Matlab are also relevant.
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• Extensive experience with machine learning APIs and computational packages (TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, statsmodels).
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• Familiarity with basic data table operations (SQL, Hive, etc.)
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• Should be able to work both individually and collaboratively in teams, in order to achieve project goals.
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• Must be curious, hardworking and detail-oriented, and motivated by complex analytical problems.
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• Must have the ability to design or evaluate intrinsic and extrinsic metrics of your models performance which are aligned with business goals.
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• Must be able to effectively communicate technical concepts and results to both technical and business audiences.

Beneficial Skills

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• Solid time series analysis, speech recognition, NLP or financial engineering background.
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• Strong background in Mathematics and Statistics.
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• Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal.
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• Experience with GPUs and cloud-based training of deep neural networks.
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• Contribution to open-source projects on Machine Learning.
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• Knowledge in Reinforcement Learning or Meta Learning.
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• Experience with big-data technologies such as Hadoop, Spark, SparkML, etc.

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Software Engineer at Comcast (Seattle, WA)

Comcast's Technology & Product organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards.

Come join the leading technology provider for premium content delivery at Comcast Technology Solutions (CTS).

If you're a junior engineer who wants to learn how to write software that serves millions of views for TV shows and movies from companies like NBC, AMC, FOX, CW and many more, then you should join us.

We need a junior engineer to help us build new features on our Playback Services team. That means writing code that takes millions of online hits, scales horizontally from the first line of code and handles live events like the Superbowl and Olympics.

Don't worry if your background isn't traditional. If you have a resume that shows you've worked hard to learn and grow in previous rolls, we want to talk to you.

You'll learn how to design new software and web applications. You'll analyze, test and assists with the integration of new applications.

Here's what else you'll be working on:

- Realtime generation of HLS

- XML an JSON Services

- HTML Services

- Full Java stack

- Kubernetes + AWS environments

- Blue/Green deploys

You'll be collaborating on a team that:

- Owns the customer experience-thinks and acts in ways that puts our customers first, gives them seamless digital options at every touchpoint, and makes them promoters of our products and services
- Knows their stuff are enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences
- Wins as a team-makes big things happen by working together and being open to new ideas
- Respects and promotes inclusion and diversity
- Does what's right for each other, our customers, investors and our communities

Core Responsibilities

- Collaborates with project stakeholders to identify product and technical requirements. Conducts analysis to determine integration needs.
- Designs new software and web applications, supports applications under development, and customizes current applications. Assists with the software update process for existing applications, and roll-outs of software releases.
- Researches, writes and edits documentation and technical requirements, including software designs, evaluation plans, test results, technical manuals and formal recommendations and reports.
- Works with Quality Assurance team to determine if applications fit specification and technical requirements.
- Consistent exercise of independent judgment and discretion in matters of significance.

Job Specification:
- Bachelors Degree or Equivalent
- Computer Science, Engineering
- Generally requires 2-5 years related experience

Comcast is an EOE/Veterans/Disabled/LGBT employer

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