Algorithm Engineer Jobs
Algorithm Engineer jobs are open across technology, finance, healthcare, and logistics companies, with specializations in machine learning, search and recommendation systems, and combinatorial optimization, from early-career to staff and principal-level roles. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 90+ Algorithm Engineer jobs
Are you interested in developing and analyzing signal processing and machine learning algorithms for maritime and US Navy applications? Do you enjoy working on collaborative project teams with peers and mentors to aid your career development?
If you are graduating with a Bachelor’s or Master’s degree in computer engineering, electrical engineering, physics, mathematics, statistics, or a related field and want to apply your skills to the maritime and undersea domain, consider joining our team! We strive to cultivate an environment of collaboration and partnership with our highly skilled staff who regularly tackle difficult problems that make a difference in real-world operations.
We apply information processing, machine learning, deep learning, and signal processing to transform raw sensor and network data into meaningful information for our nation’s warfighters. As examples, you may develop algorithms to hunt for submarines, analyze IP network traffic data to characterize network behavior and identify anomalous activity, or develop deep learning algorithms to classify objects in sidescan sonar images.
As an Algorithm Development Engineer, you will…
- Develop, implement, test, and evaluate signal processing, data analysis, and machine learning algorithms for challenging maritime and national security applications.
- Work with real-world sensor, imagery, or network data to uncover patterns, extract meaningful features, and develop algorithms that turn data into actionable information.
- Develop software tools and analysis workflows, primarily using Python, MATLAB, or C/C++, to process data, conduct experiments, and evaluate algorithm performance.
- Collaborate with multidisciplinary teams of engineers, scientists, and operational experts to tackle technical issues and transition innovative capabilities into operational use.
- Detail your technical approach, software, experiments, and algorithm performance through written reports, presentations, and technical discussions with colleagues and sponsors.
Qualifications
You meet our minimum qualifications for the job if you...
- Have a Bachelor’s or Master’s degree in computer engineering, electrical engineering, mathematics/statistics, or physics.
- Have demonstrated programming experience in Python, MATLAB, C/C++, or a similar language.
- Have strong written and verbal communication skills with the ability to work effectively in small project teams.
- Have a foundation in relevant mathematical and computational concepts, such as linear algebra, probability, statistics, numerical methods, or digital signal processing.
- Have experience applying programming and analytical skills to solve technical problems, including developing algorithms, analyzing data, or evaluating computational outputs.
- Are able to obtain an Interim Secret level security clearance by your start date and can ultimately acquire a 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.
- Have experience implementing and evaluating signal processing or machine learning algorithms using real-world or simulated data.
- Have knowledge of IP networking concepts and protocols (e.g., TCP/IP, UDP, DNS, routing) and experience analyzing network traffic, packet captures (PCAP), or network performance. Have used tools including Wireshark, Arkime, or Elasticsearch.
- Are familiar with signal processing concepts such as sampling theory, Fourier transforms, digital filtering, spectral analysis, or time-frequency representations.
- Have experience with statistical analysis, feature extraction, classification, regression, or methods such as random forests, support vector machines, or neural networks.
- Have used deep learning frameworks such as PyTorch or TensorFlow, particularly for image, audio, time-series, or other sensor data.
- Have applied software development practices and tools such as Git, unit testing, debugging, or development in Linux environments.
- Have led project teams to successfully accomplish a technical objective.
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
Are you interested in developing and analyzing signal processing and machine learning algorithms for maritime and US Navy applications? Do you enjoy working on collaborative project teams with peers and mentors to aid your career development?
If you are graduating with a Bachelor’s or Master’s degree in computer engineering, electrical engineering, physics, mathematics, statistics, or a related field and want to apply your skills to the maritime and undersea domain, consider joining our team! We strive to cultivate an environment of collaboration and partnership with our highly skilled staff who regularly tackle difficult problems that make a difference in real-world operations.
We apply information processing, machine learning, deep learning, and signal processing to transform raw sensor and network data into meaningful information for our nation’s warfighters. As examples, you may develop algorithms to hunt for submarines, analyze IP network traffic data to characterize network behavior and identify anomalous activity, or develop deep learning algorithms to classify objects in sidescan sonar images.
As an Algorithm Development Engineer, you will…
- Develop, implement, test, and evaluate signal processing, data analysis, and machine learning algorithms for challenging maritime and national security applications.
- Work with real-world sensor, imagery, or network data to uncover patterns, extract meaningful features, and develop algorithms that turn data into actionable information.
- Develop software tools and analysis workflows, primarily using Python, MATLAB, or C/C++, to process data, conduct experiments, and evaluate algorithm performance.
- Collaborate with multidisciplinary teams of engineers, scientists, and operational experts to tackle technical issues and transition innovative capabilities into operational use.
- Detail your technical approach, software, experiments, and algorithm performance through written reports, presentations, and technical discussions with colleagues and sponsors.
Qualifications
You meet our minimum qualifications for the job if you...
- Have a Bachelor’s or Master’s degree in computer engineering, electrical engineering, mathematics/statistics, or physics.
- Have demonstrated programming experience in Python, MATLAB, C/C++, or a similar language.
- Have strong written and verbal communication skills with the ability to work effectively in small project teams.
- Have a foundation in relevant mathematical and computational concepts, such as linear algebra, probability, statistics, numerical methods, or digital signal processing.
- Have experience applying programming and analytical skills to solve technical problems, including developing algorithms, analyzing data, or evaluating computational outputs.
- Are able to obtain an Interim Secret level security clearance by your start date and can ultimately acquire a 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.
- Have experience implementing and evaluating signal processing or machine learning algorithms using real-world or simulated data.
- Have knowledge of IP networking concepts and protocols (e.g., TCP/IP, UDP, DNS, routing) and experience analyzing network traffic, packet captures (PCAP), or network performance. Have used tools including Wireshark, Arkime, or Elasticsearch.
- Are familiar with signal processing concepts such as sampling theory, Fourier transforms, digital filtering, spectral analysis, or time-frequency representations.
- Have experience with statistical analysis, feature extraction, classification, regression, or methods such as random forests, support vector machines, or neural networks.
- Have used deep learning frameworks such as PyTorch or TensorFlow, particularly for image, audio, time-series, or other sensor data.
- Have applied software development practices and tools such as Git, unit testing, debugging, or development in Linux environments.
- Have led project teams to successfully accomplish a technical objective.
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
See All 90 Algorithm Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Algorithm Engineer JobsAlgorithm Engineer Job Market
Who's Hiring
- Apple13
- KLA6
- Bot Auto5
- Rocket Lab USA5
- SciTec4
Top Industries Hiring
- Manufacturing
- Electronics & Hardware
- Technology & Software
What Employers Look For
The qualifications that appear most often in algorithm engineer jobs.
- Bachelor's or master's degree in computer science, mathematics, or a related field
- Proficiency in Python, C++, or Java for algorithm implementation and testing
- Strong foundation in data structures, complexity analysis, and algorithm design
- Experience with machine learning frameworks such as PyTorch or TensorFlow
- Ability to analyze large-scale datasets and optimize for performance and efficiency
- Familiarity with distributed computing platforms and cloud infrastructure environments
Tips for Your Algorithm Engineer Job Search
Tailor your resume to algorithmic depth
Hiring managers for algorithm engineer roles scan for time and space complexity analysis, not just project outcomes. Annotate key resume bullets with the algorithmic approach you used, the data scale you optimized for, and the measurable improvement you achieved.
Apply early to roles that fit
Migrate Mate lists algorithm engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by domain-specific keyword
Job titles vary widely: some postings say algorithm engineer, others say research engineer, applied scientist, or optimization engineer. Search multiple variants so you don't miss relevant openings that use different title conventions at the same seniority level.
Build a portfolio around measurable tradeoffs
Interviewers want to see that you understand tradeoffs, not just that you can code. Document two or three projects where you chose between competing approaches, explain what drove the decision, and show benchmark data or profiling results to back it up.
Prepare for systems design at scale
Many algorithm engineer interviews pair classical coding problems with system design questions focused on throughput, latency, and fault tolerance. Practice designing distributed pipelines and explaining how your algorithmic choices change when data volume grows by several orders of magnitude.
Negotiate by anchoring to scope and impact
When discussing compensation, tie your ask to the complexity of problems you've solved and the downstream impact on product or infrastructure. Quantify latency reductions, cost savings, or accuracy improvements from past work so the conversation stays grounded in delivered value.
Algorithm Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most algorithm engineers?
Apple, KLA, and Bot Auto are hiring the most algorithm engineers right now, with openings concentrated in California, Massachusetts, and Maryland, based on current listings on Migrate Mate as of November 2026. Demand is strongest at companies building search, recommendation, and logistics optimization systems at scale.
How many algorithm engineer jobs are remote?
About 35% of algorithm engineer openings are fully remote or hybrid as of November 2026, reflecting broader flexibility in engineering-focused roles. Sub-areas with the highest remote share include machine learning research, combinatorial optimization, and algorithm research positions that don't require on-site hardware or lab access.
How do you become an algorithm engineer?
Start by building a strong foundation in discrete mathematics, data structures, and algorithm design through coursework or self-study. Work through competitive programming problems to sharpen your ability to reason about complexity. Contribute to open-source projects or publish personal projects that demonstrate applied algorithmic thinking. A graduate degree helps for research-oriented roles, but a strong portfolio and demonstrated problem-solving ability matter at most companies.
How do you get hired as an algorithm engineer with little experience?
Focus on competitive programming platforms to build a verifiable record of solving hard algorithmic problems, since many hiring teams look at those profiles directly. Target companies with structured new-grad programs in applied research or platform engineering, where the expectation is teaching on the job. A published open-source library, a thesis with computational results, or a Kaggle competition placement can substitute for professional experience when your resume is thin.
What does the algorithm engineer interview process look like?
Most algorithm engineer interview processes include an initial screening call, two or three coding rounds focused on data structures and algorithm design, a systems design round where you architect a scalable solution, and a research or depth round where you walk through past work in detail. Some companies add a take-home problem or ask you to analyze a dataset and explain your algorithmic choices before the final round.
Where can I find and apply to algorithm engineer jobs?
You can find and apply to algorithm engineer jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your specialization and experience level, then apply directly to each listing that fits.
See All 90 Algorithm Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Algorithm Engineer Jobs