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Optimization Algorithms Jobs in Virginia (NOW HIRING)

Tyto Athene, LLC

Quantum Algorithm Developer

Reston, VA · Hybrid

Develop and evaluate Quantum Approximate Optimization Algorithms (QAOA), Variational Quantum Eigensolvers (VQE), Quantum Machine Learning (QML), Quantum Fourier Transform (QFT), Grover's Search, and ...

Tyto Athene, LLC

Quantum Algorithm Developer

Reston, VA · Hybrid

Develop and evaluate Quantum Approximate Optimization Algorithms (QAOA), Variational Quantum Eigensolvers (VQE), Quantum Machine Learning (QML), Quantum Fourier Transform (QFT), Grover's Search, and ...

Tyto Athene, LLC

Quantum Algorithm Developer

Reston, VA · On-site

Develop and evaluate Quantum Approximate Optimization Algorithms (QAOA), Variational Quantum Eigensolvers (VQE), Quantum Machine Learning (QML), Quantum Fourier Transform (QFT), Grover's Search, and ...

Elutions

Domain Engineer

Arlington, VA · On-site

Be comfortable with data pattern recognition and energy optimization algorithms. * Provide 2nd tier customer support. * Conduct customer and sales training including software demonstrations ...

Elutions

Domain Engineer

Arlington, VA · On-site

Be comfortable with data pattern recognition and energy optimization algorithms. * Provide 2ndtier customer support. * Conduct customer and sales training including software demonstrations ...

Cymertek Corporation

Data Scientist

Reston, VA · On-site

... in optimization algorithms Company : With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information ...

Cymertek Corporation

Data Scientist

Chantilly, VA · On-site

... in optimization algorithms Company : With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information ...

Draper

Senior Guidance & Control Engineer

Reston, VA · On-site +1

$82K - $220K/yr

Significant knowledge of design and implementation of trajectory design/optimization algorithms including optimal control techniques. Strong project execution and teamwork skills. Strong analytical ...

Unissant

Senior Data Scientist

Herndon, VA · On-site

$134K - $196K/yr

Conceptualize, plan, design, and develop deep learning/AI algorithms for multi-objective optimization focused on ERO resource allocation, logistics, and enforcement prioritization. * Lead MLOps ...

Maxar Technologies, Inc.

AI/ML Engineer

Herndon, VA · On-site

$137K - $182K/yr

Design and implement scalable reinforcement learning (RL), optimization, and decision-making algorithms for satellite sensor and constellation tasking and planning * Build high-fidelity simulation ...

North Wind

Aerospace Analysis Engineer

Newport News, VA · On-site

$100K - $200K/yr

Contribute to process improvements by recommending advanced CFD methods, trajectory tools, optimization algorithms, or workflow enhancements. * Prepare clear technical documentation, analysis ...

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Optimization Algorithms information

What is the difference between Optimization Algorithms vs Data Analysts?

AspectOptimization AlgorithmsData Analysts
Required CredentialsMathematics, Computer Science, Programming skillsStatistics, Data Analysis, Business Intelligence
Work EnvironmentResearch, software development, algorithm designData interpretation, reporting, business decision support
Employer & Industry UsageTech companies, finance, logistics, AI developmentMarketing, finance, healthcare, consulting

Optimization Algorithms focus on developing mathematical methods to improve processes and solve complex problems efficiently, often requiring programming and advanced math skills. Data Analysts interpret data to generate insights, supporting business decisions across various industries. While both roles work with data, Optimization Algorithms are more technical and algorithm-centric, whereas Data Analysts focus on data interpretation and reporting.

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Optimization Algorithms jobs near you
Sr. Product Manager, Machine Learning and Optimization Algorithms

Sr. Product Manager, Machine Learning and Optimization Algorithms

Comcast

Reston, VA

$147K - $221K/yr

Full-time

Re-posted 8 days ago

Job description

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we're making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world.

Job Summary

Responsible for the product management activities of the Freewheel Streaming Hub Direct Sales Management team. Primary focus on building programmatic ad-decisioning and optimization capabilities, partnering with Data Science to design and implement advanced Machine Learning and AI models within FreeWheel's SSP platform Programmatic Module. This role will own a product area within the Direct Sales Management of products but will also partners with other Streaming Hub product managers to design and implement key features underpinning the Freewheel programmatic strategy across several investment areas: Programmatic Module, FW SSP and Marketplace Platform (Private and Exchange). Supports the Direct Sales Management team in reaching the team objectives and keeps leadership team informed of key developments and issues in their areas of responsibilities. Partners with other product team members across Freewheel to successfully deliver on dependencies. Responsible for the relationship with engineering peers within the Direct Sales Management team.

Job Description

Must Have:

Machine Learning and AI models within SSP platform Programmatic Modules.

Optimization Algorithms

Sr. Product Management

Core Responsibilities

  • Plans and maintains the overall roadmap, strategy and objectives for a product area that focusing on building programmatic ad decisioning and optimization capabilities for Programmatic Module.
  • Owns coordination with other PMs to drive designs across use cases for that product area
  • Owns the coordination with the engineering teams responsible for delivery of the product area
  • Owns designs and implementation for key capabilities within the Direct Sales Management product suite Programmatic Module area.
  • Partners with Go-to-market teams for the release of key capabilities within the Direct Sales Management product suite Programmatic Module area.
  • Applies understanding of internal product technologies and is aware of other technologies in programmatic advertising industry.
  • Works with stakeholders to clearly identify opportunities, outline business cases and prioritize features within the Direct Sales Management Programmatic Module roadmap
  • Demonstrates good project and time management skills, ensures timely delivery of projects, and effectively escalates issues
  • Consistent exercise of independent judgment across areas of ownership
  • Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary
  • Other duties and responsibilities as assigned.

Employees at all levels are expected to:

  • Understand our Operating Principles; make them the guidelines for how you do your job.
  • Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
  • Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
  • Win as a team - make big things happen by working together and being open to new ideas.
  • Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
  • Drive results and growth.
  • Support a culture of inclusion in how you work and lead.
  • Do what's right for each other, our customers, investors and our communities.

Disclaimer:

  • This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Skills

Agile Methodology, Cross-Functional Collaboration, Functional Requirements, Machine Learning (ML), Programmatic Advertising, Roadmap Management

Compensation

Primary Location Pay Range: $147,741.60 - $221,612.40Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Education

Bachelor's DegreeWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Certifications (if applicable)

Relevant Work Experience

10 Years +Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

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