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Entry Level Algorithm Engineer Jobs in Washington

APOGEE RESEARCH LLC

Algorithm Engineer

Arlington, VA · On-site

We currently have openings for algorithm engineers to design, implement, and validate new ... This is not an entry level position and real-world experience is required. While this role is not ...

Elutions

Domain Engineer

Arlington, VA · Remote

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Understand big data concepts and have knowledge of data mining algorithms. * Read and understand ...

Elutions

Domain Engineer

Arlington, VA · On-site

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Understand big data concepts and have knowledge of data mining algorithms. * Read and understand ...

Elutions

Domain Engineer

Arlington, VA

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Understand big data concepts and have knowledge of data mining algorithms. * Read and understand ...

Peraton

Image Scientist (Entry-level)

Springfield, VA

$80K - $128K/yr

Product evaluations, quality studies, new product initializations, product algorithm assessments ... Engineering (or other engineering), Optics/Optical Engineering, Computer Science, Data Science ...

Peraton

Image Scientist (Entry-level)

Springfield, VA

$80K - $128K/yr

Product evaluations, quality studies, new product initializations, product algorithm assessments ... Engineering (or other engineering), Optics/Optical Engineering, Computer Science, Data Science ...

Peraton

Image Scientist (Entry-level)

Springfield, VA · On-site

$80K - $128K/yr

Product evaluations, quality studies, new product initializations, product algorithm assessments ... Engineering (or other engineering), Optics/Optical Engineering, Computer Science, Data Science ...

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Entry Level Algorithm Engineer information

What are the key skills and qualifications needed to thrive as an Entry Level Algorithm Engineer, and why are they important?

To thrive as an Entry Level Algorithm Engineer, you need a solid grasp of computer science fundamentals, mathematical problem-solving, and proficiency in programming languages like Python, C++, or Java, typically supported by a relevant bachelor's degree. Familiarity with algorithm design tools, version control systems (such as Git), and experience with data structures are important technical requirements. Strong analytical thinking, attention to detail, and effective teamwork skills help set candidates apart in this collaborative and precise field. These skills and qualities are essential to developing efficient solutions, ensuring code quality, and contributing effectively to engineering teams.

What are some common challenges faced by Entry Level Algorithm Engineers when transitioning from academic projects to real-world applications?

Entry Level Algorithm Engineers often find that moving from academic projects to real-world applications introduces challenges such as handling messy or incomplete data, optimizing algorithms for performance at scale, and collaborating within interdisciplinary teams. In a professional setting, solutions must meet business requirements and accommodate system constraints, which can differ greatly from controlled academic environments. Additionally, new engineers may need to adapt their communication skills to explain complex algorithms to non-technical stakeholders and integrate their work with existing codebases.

What are Entry Level Algorithm Engineers?

Entry Level Algorithm Engineers are professionals who design, develop, and optimize algorithms, typically as part of a larger software or hardware development team. They usually hold a recent degree in computer science, mathematics, or a related field, and are responsible for implementing algorithms to solve specific problems, analyze data, or improve system performance. Their work often involves programming, testing, and collaborating with other engineers to ensure efficient and reliable solutions. As entry-level employees, they receive guidance from senior engineers and gradually take on more complex tasks as they gain experience.

What is the difference between Entry Level Algorithm Engineer vs Data Analyst?

AspectEntry Level Algorithm EngineerData Analyst
Required CredentialsBachelor's in CS, Math, or related; knowledge of algorithms and programmingBachelor's in Statistics, Math, or related; proficiency in data tools
Work EnvironmentTech companies, R&D labs, software firmsBusiness, finance, marketing departments
Employer & Industry UsageUsed in AI, machine learning, software developmentUsed in business intelligence, reporting, data visualization

Entry Level Algorithm Engineers focus on designing and implementing algorithms, often in software or AI projects, requiring programming skills. Data Analysts interpret data to inform business decisions, emphasizing statistical analysis and data visualization. While both roles require analytical skills and a bachelor's degree, their daily tasks and industry applications differ significantly.

What are the most commonly searched types of Algorithm Engineer jobs in Washington? The most popular types of Algorithm Engineer jobs in Washington are:
What are popular job titles related to Entry Level Algorithm Engineer jobs in Washington? For Entry Level Algorithm Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Entry Level Algorithm Engineer jobs in Washington look for? The top searched job categories for Entry Level Algorithm Engineer jobs in Washington are:
Entry Level Algorithm Engineer jobs near you
Algorithm Engineer

Algorithm Engineer

APOGEE RESEARCH LLC

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 19 days ago

Job description

Apogee Research is at the forefront of a revolution in how the DoD operates: a turn towards compositional systems of systems instead of traditional monolithic architectures. This change is driven by a need for faster adaptation to adversarial environments, which requires the ability to field resilient, distributed systems in days to weeks rather than months to years. To create composable systems that operate resiliently at scale in contested and resource constrained environments, we combine custom software toolchains with feedback control to dynamically adjust to ever changing environments.

We currently have openings for algorithm engineers to design, implement, and validate new algorithms across multiple domains including networking, distributed data fusion and resource management, distributed electronic warfare, and distributed Command and Control (C2). Understanding of probability and statistics is required, experience with control systems is desired. Demonstrated understanding of how to characterize the open-loop and close-loop stability of nonlinear systems via analysis, simulation, and experimentation is a strong plus.

Qualified candidates should have a mix of academic theory and real-world applications of relevant algorithms, combined with a track record of applying research techniques to real-world problems. This is not an entry level position and real-world experience is required. While this role is not primarily a software development role, some software development experience is strongly preferred.

The position is located in our Arlington, VA office. Existing DoD Top Secret clearance is strongly preferred, otherwise all candidates must be eligible to obtain one and therefore all candidates must be a US citizen to apply.

About Apogee Research

Apogee Research offers a comprehensive benefits package that includes health, dental, vision, life, and disability insurance, FSAs, paid vacation, sick leave, and paid holidays. Conveniently located in Arlington, VA, we are a short walking distance from the Ballston Metro station. We offer the choice of paid garage parking or a contribution towards a transit account.

Apogee Research, LLC is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or other non-merit factors.