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Remote Algorithm Engineer Jobs in Virginia (NOW HIRING)

TalentRemedy

Technical Program Manager

Herndon, VA · On-site +1

$132K - $171K/yr

You will partner closely with software engineers, algorithm developers, data/ML teams, DevOps, and ... Geospatial analytics, remote sensing, or high-throughput data platforms. Benefits A compensation ...

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site +1

... algorithms for a program focused on building robust computer vision algorithms. This requires ... Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ...

iDirect GOVERNMENT

Senior FPGA Engineer

Herndon, VA · On-site +1

$133K - $171K/yr

This position is based out of our Herndon, VA location with the option of a remote work schedule ... Experience implementing DSP algorithms in RTL * Experience with modulators/demodulators, forward ...

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Remote Algorithm Engineer information

What are the key skills and qualifications needed to thrive as a Remote Algorithm Engineer, and why are they important?

To thrive as a Remote Algorithm Engineer, you need a strong background in computer science, mathematics, and algorithm design, often supported by a relevant degree. Proficiency in programming languages such as Python, C++, or Java, and experience with version control systems and cloud-based collaboration tools are typically required. Strong problem-solving abilities, self-motivation, and clear communication skills are essential for excelling in a remote environment. These skills ensure the engineer can develop efficient solutions, collaborate effectively with distributed teams, and deliver high-quality work independently.

What is a Remote Algorithm Engineer?

A Remote Algorithm Engineer is a professional who designs, develops, and optimizes algorithms for various applications, such as data analysis, machine learning, or software development, while working from a remote location. This role involves solving complex problems, collaborating with team members online, and implementing efficient solutions to improve system performance. Remote Algorithm Engineers often work in industries like technology, finance, healthcare, and more, utilizing programming languages and mathematical concepts to create effective algorithms.

What are some common challenges faced by Remote Algorithm Engineers, and how can they be addressed?

Remote Algorithm Engineers often face challenges such as effective communication with distributed teams, managing their own schedules, and ensuring seamless integration of their work with larger systems. To address these, it's important to leverage collaborative tools (like code repositories, project management platforms, and video conferencing), maintain clear and regular communication with colleagues, and participate in code reviews and design discussions. Establishing a structured routine and proactively seeking feedback can also help in staying aligned with project goals and team expectations.
What are the most commonly searched types of Algorithm Engineer jobs in Virginia? The most popular types of Algorithm Engineer jobs in Virginia are:
What are popular job titles related to Remote Algorithm Engineer jobs in Virginia? For Remote Algorithm Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Algorithm Engineer jobs in Virginia look for? The top searched job categories for Remote Algorithm Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Algorithm Engineer jobs? Cities in Virginia with the most Remote Algorithm Engineer job openings:
Remote Algorithm Engineer jobs near you

Data Platform Engineer, AI & Personalization (Remote, East Coast)

P3Hired

Arlington, VA • On-site, Remote

$131K - $158K/yr

Full-time

Posted 23 days ago

Job description

Position Overview
Eagle Eye is an AI driven retail technology SaaS company powering personalized promotions and loyalty programs for leading global brands. In this role, you will sit at the heart of our platform building, optimizing, and supporting data systems that deliver high performance, real time personalization for enterprise clients.
As a Data Solutions Engineer, you will play a key role in deploying, operating, and continuously improving our data-driven platform for our clients.
You will work at the intersection of data engineering, system performance optimization, and client-facing technical operations, ensuring that our AI personalization solution runs reliably in production and delivers measurable value.
You will collaborate closely with Product Managers, Data Science, and Customer Success teams, and regularly interact with client technical teams.
The team "Personalized Challenges" is currently Europe-based and you will be the first North America based member. You will primarily communicate remotely with your direct team members in Europe but will also collaborate with our extensive team in North America who are based in Washington, DC, Toronto, Jacksonville and Chicago. Note that overall, Eagle Eye has a global presence, including North America, EMEA and APAC.
This is a United States based remote role with a preference for Eastern time zone candidates, open to applicants authorized to work without sponsorship.
Responsibilities
This role is intentionally a hybrid of responsibilities:
  • Hands-on Data Engineering - 60%
  • Continuous Optimization of Data-Driven Systems - 30%
  • Client-facing Technical Support & Ticket Resolution - 10%

Success in this role is measured by platform reliability, data quality, system performance, and the long-term resolution of production issues, rather than by volume of support tickets.
Platform Deployment & Data Integration
  • Integrate client data pipelines into our data stack
  • Deploy and configure our platform for new clients
  • Ensure data quality, consistency, and reliability across incoming and outgoing data flows
Production Support & Ticket Management
  • Investigate and resolve technical tickets related to data pipelines, system performance, and algorithm behavior
  • Act as a technical escalation point for Customer Success teams
  • Diagnose root causes, propose fixes, and ensure long-term prevention of recurring issues
Continuous Optimization & Performance Improvement
  • Analyze system and algorithm performance using metrics, logs, and experimentation
  • Identify opportunities to optimize data pipelines, processing logic, and algorithm configurations
  • Collaborate with Product and Data Science teams to prioritize and roll out improvements
  • Design and analyze A/B tests to measure the impact of changes

You Are
  • Disciplined problem-solver who enjoys digging into the "why" of system behavior to find long-term solutions.
  • An autonomous worker, ready to be the first North American member of the team while maintaining effective collaboration with European colleagues.
  • A clear, structured communicator capable of explaining complex technical issues to both engineers and non-technical stakeholders.
  • Rigorous and detail-oriented, especially when monitoring production systems and ensuring data integrity.
  • Comfortable navigating production incidents and support tickets with a calm, engineering-driven approach.
  • Curious and pragmatic, motivated by understanding real-world client use cases and optimizing system performance.
  • Comfortable working fully remotely: even if located near other team members, you will be remote from your direct colleagues based in France. You have proven experience thriving in a fully remote setup and collaborating across cultures.
  • Able to participate in a 1-2 week onboarding in Paris, offering dedicated time for in-person collaboration, learning, and team connection.
You Have
  • 3-5 years of experience as a Data Engineer or Data Solutions Engineer in a production-heavy environment.
  • A bachelors degree in Computer Science, Data Engineering, or a related field.
  • Deep hands-on experience with Python and/or Scala.
  • Proven expertise using Spark for large-scale data processing.
  • Practical experience building and managing data stacks within Google Cloud Platform (GCP) and BigQuery.
  • A solid foundation in data engineering principles, including data pipeline design and system optimization.
  • A working knowledge of Data Science and Machine Learning concepts to help bridge the gap between data flows and algorithm performance.

Department Technology Locations Arlington, VA Client Name Eagle Eye

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