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Entry Level Algorithm Engineer Jobs in Washington

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

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

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

AI Engineer

Washington, DC · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

Showing results 21-40

Entry Level Algorithm Engineer information

What is an entry level algorithm engineer?

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 are the key skills and qualifications needed to thrive as an entry level algorithm engineer?

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 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:

Infographic showing various Entry Level Algorithm Engineer job openings in Washington as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

2027 Graduate - Defense Systems Simulation & Analysis - Electrical Engineer/Physicist/Mathematician

Laurel, MD • On-site

The Johns Hopkins University Applied Physics Laboratory
Guided Missile and Space Vehicle Manufacturing • 5 - 10K employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Description

Are you looking for impactful opportunities to help defend the United States, our armed forces, and our allies from all forms of air and missile threats?

Are you detail oriented, like to figure out how to make things better, enjoy writing high-level (e.g., Matlab) code to simulate real-world systems, and are looking for a high-tempo and team-oriented environment?

If you are graduating with a Bachelor's or Master's degree in Electrical Engineering, Aeronautical Engineering, Engineering Physics, Physics, Mathematics, or similar degrees and want to work in an exciting environment to solve challenging technical national security problems, we'd love to have you join our team.

We are seeking innovative and talented technical graduates to join our Multi-Domain System Concepts Group to conduct simulation and analysis, identify defensive systems gaps, and develop new system concepts to improve defensive capabilities for the U.S. You would apply math, engineering, and physics knowledge to implement models and simulations of real-world and future systems, then analyze those sensors, battle management and communications systems, and kinetic and non-kinetic defensive systems. You would develop skills in analysis, algorithm development, optimization, and modeling and simulation of a wide variety of U.S. Missile Defense, Armed Forces, and Space systems.

As a member of our team...

  • Your primary responsibility will be contributing to the development and assessment of U.S. Defense systems.
  • You will model, analyze, and perform assessments of fielded systems and find opportunities for improvement, propose and develop innovative concepts/algorithms to improve capabilities, and conduct analysis to assess potential future systems performance. You will often conduct parametric analyses using high performance computing capabilities. You will sometimes develop prototype capabilities and work with real-world systems to transition ideas to fielded capabilities.
  • You will develop presentations to effectively communicate technical recommendations to APL leadership, government sponsors, and the engineering community.
  • You will contribute to our group and uphold core values through participation in collaborative teams and activities, as well as be surrounded by staff sharing a dedication to continual improvement, innovation and risk-taking, and developing high quality products.
Qualifications

You meet our minimum qualifications for the job if you...

  • Have a Bachelor's or Master's degree in Electrical Engineering, Aeronautical Engineering, Engineering Physics, Physics, Mathematics, or similar degrees
  • Are skilled in and/or have knowledge of programming and analysis, as well as math and physics
  • Have excellent verbal and written communication skills
  • Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You’ll go above and beyond our minimum requirements if you...

  • Have proficiency in MATLAB (or another high level language), especially with Object Orientated Programing and Event Driven Simulations
  • Have domain knowledge of Missile Defense Agency, Space Force, Army, Navy, etc. systems and/or relevant internship experience
  • Have strong background in RF and IR systems, signal processing, communications systems, and algorithm development
  • Have a final Secret or Top Secret clearance
About Us

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.

The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.

Minimum Rate

$85,000 Annually

Maximum Rate

$165,000 Annually

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