1943 IT & Software Developer jobs in the US

Capital One jobs

Senior Machine Learning Engineer - Mc Lean

$286,200 - 359,300
Capital One
Capital One Drive 1680, Mc Lean
$286,200 - 359,300
Company Size icon
Company Size
5k+
Company Type icon
Company Type
Product
Exp Level icon
Exp Level
Regular
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Bachelors degree - Minimum of 10 years experience in designing and creating data-intensive solutions utilizing distributed computing - At least 7 years of programming experience in C, C++, Python, or Scala - A minimum of 4 years experience managing the complete ML development lifecycle using contemporary technology in a business-critical context - Masters degree (preferred) - Over 3 years of experience in designing, implementing, and scaling production-ready data pipelines for ML models (preferred) - More than 3 years experience with Dask, RAPIDS, or in High Performance Computing (preferred) - Over 3 years experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) (preferred) - Proficient communication skills to convey complex technical ideas to diverse audiences (preferred) - Demonstrable impact in the ML industry through presentations, publications, blogs, or contributions to open source (preferred) - Exceptional ability to attract and cultivate high-performing software engineers with an inspiring leadership style (preferred)

Technologies

Machine Learning
numpy
pandas

Responsibilities

- Develop machine learning models and software components that address complex business challenges within the financial services sector, collaborating closely with Product, Architecture, Engineering, and Data Science teams - Spearhead the creation and advancement of machine learning models and software to facilitate cutting-edge intelligent systems - Manage extensive machine learning projects while keeping the customers needs at the forefront - Utilize cloud-based technologies to deliver efficient machine learning models at scale - Streamline data pipelines that support machine learning models - Apply programming skills in languages such as Python, Scala, or C/C++ - Utilize computational technologies like Dask and RAPIDS - Promote best practices throughout all phases of the engineering and modeling life cycles - Assist in recruiting, developing, and retaining top engineering talent

Description


At Capital One, we are seeking a Senior Distinguished Machine Learning Engineer to join our team. In this role, you will provide technical leadership for engineering teams focused on scaling machine learning applications and systems. Youll engage in detailed technical design, development, and implementation using innovative technology platforms. We strive to be at the forefront of technology, offering opportunities for continuous learning and mentorship. Our competitive benefits package supports your overall well-being, and we are committed to an inclusive workplace. This position is available in McLean, VA and Plano, TX.
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You can find Machine Learning Engineer salaries in the United States here.

How many Machine Learning Engineer jobs are in the United States?

Currently, there are 1943 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.

Is the US a good place for Machine Learning Engineers?

The US is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.

Which companies are hiring for Machine Learning Engineer jobs in the United States?

Snaplii, KUBRA, Nurse Next Door, Cobmex® Apparel Inc., D3 Security Management Systems, Sequoia Software, Ashmead Designs Ltd. among others, are currently hiring for ML, AI roles in the United States.

The company with most openings is Jobot as they are hiring for 124 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.