Machine Learning Engineer @ FreeWheel | Jobright.ai
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FreeWheel · 1 week ago

Machine Learning Engineer

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Comp. & Benefits

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Responsibilities

Contribute to both software engineering and machine learning sides of projects.
Implement, refine, and validate machine learning algorithms for products and applications.
Take action on existing specifications of designs and develop data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring.
Train machine learning models, validate the accuracy of the machine learning models once trained, and deploy validated machine learning models into production.
Research, write, and edit documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations, and reports. Contribute to the company by creating patents, Application Programming Interfaces (APIs), and other intellectual property.
Test and evaluate solutions presented to the Company by various internal and external partners and vendors. Complete case studies, testing, and reporting.
Design proof of concept solutions and contribute to studies to support future product or application development.
Collaborate with teams outside of the immediate work group. Represent the work team in providing solutions to technical issues associated with assigned projects.
Provide guidance and leadership to more junior engineers.
Exercise independent judgment and discretion in matters of significance.
Work nights and weekends, variable schedule(s), and overtime as necessary.
Perform other duties and responsibilities as assigned.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningData ScienceCloud PlatformsData PipelinesData IngestData ValidationData CleaningData MonitoringModel TrainingModel ValidationModel DeploymentTechnical DocumentationSolution TestingPythonTechnical WritingRequirements WritingSolution EvaluationComputational ChallengesPython Data Science EcosystemBidder-as-a-Service (BaaS)Beeswax DSPPatentsAPIsIntellectual PropertyProof of ConceptProduct Development

Required

Bachelor's Degree in a relevant field
5-7 years of relevant work experience
In-depth working knowledge of the latest in Machine Learning/Data Science technologies and cloud platforms
Experience in implementing, refining, and validating machine learning algorithms for products and applications
Experience in developing data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring
Experience in training machine learning models, validating their accuracy, and deploying them into production
Experience in researching, writing, and editing technical documentation and requirements
Experience in testing and evaluating solutions presented by internal and external partners and vendors
Ability to work on a wide range of computational challenges such as user response prediction, bidding optimization, forecasting, etc.
Experience with Python data science ecosystem
Ability to work nights and weekends, variable schedules, and overtime as necessary

Preferred

Experience with Bidder-as-a-Service™ (BaaS) and Beeswax DSP
Experience in creating patents, APIs, and other intellectual property
Experience in designing proof of concept solutions and contributing to future product development studies

Benefits

Commission under the terms of an applicable plan
Bonus
Best-in-class Benefits

Company

FreeWheel

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FreeWheel is a comcast company that provides ad platforms for publishers, advertisers, and media buyers.

Funding

Current Stage
Late Stage
Total Funding
$47.64M
Key Investors
Steamboat VenturesLaconia Ventures
2014-03-02Acquired· by Comcast
2012-10-01Series E· $8.25M
2010-04-15Series D· $16.8M

Leadership Team

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Brian Wallach
SVP, CRO & Advanced TV
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Ram Kumar Rengaswamy
VP of Engineering
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Company data provided by crunchbase
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