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Home Based Remote Algorithms Engineer Jobs in Ohio

Radiance Technologies

R&D Engineer

Beavercreek, OH · On-site +1

... based signature estimation. The engineer in this position will work collaboratively with other ... Develop and implement algorithms associated with EO/IR/RF phenomenologies * Generate EO/IR/RF ...

Radiance Technologies

R&D Engineer

Beavercreek, OH · On-site +1

... based signature estimation. The engineer in this position will work collaboratively with other ... Develop and implement algorithms associated with EO/IR/RF phenomenologies * Generate EO/IR/RF ...

Statheros

Design, implement, and optimize Proximal Policy Optimization (PPO) algorithms for domain-specific ... Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for ...

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

The work spans algorithm development, data pipeline construction, and integration of ML ... Design, develop, and maintain Python-based software tools supporting optical signature modeling ...

Quora

$139K - $168K/yr

Work with other engineers to implement algorithms and systems in an efficient way * Take end-to-end ... For US based applicants, the salary range is $107,660 - $161,700 USD + equity + benefits. * Canada ...

Quora

$139K - $168K/yr

Work with other engineers to implement algorithms and systems in an efficient way * Take end-to-end ... For US based applicants, the salary range is $107,660 - $161,700 USD + equity + benefits. * Canada ...

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Home Based Remote Algorithms Engineer information

What is a home based remote algorithms engineer?

Home Based Remote Algorithms Engineers are professionals who design, develop, and optimize algorithms while working remotely from their home or any other location outside a traditional office. Their work often involves solving complex computational problems, improving software efficiency, and applying mathematical models to real-world challenges. They may work in industries like technology, finance, healthcare, or artificial intelligence, collaborating with teams online and using various programming languages. This role requires strong analytical skills, proficiency in programming, and the ability to communicate technical concepts effectively in a remote environment.

What are the key skills and qualifications needed to thrive as a home based remote algorithms engineer?

To thrive as a Home Based Remote Algorithms Engineer, you need a deep understanding of mathematics, computer science fundamentals, and experience in algorithm design, often backed by a relevant degree. Proficiency with programming languages such as Python or C++, version control systems like Git, and familiarity with cloud-based collaboration tools are typically required. Strong problem-solving skills, self-motivation, and effective written communication are critical for remote teamwork and independent project delivery. These competencies ensure you can develop efficient algorithms, collaborate remotely, and meet project goals in a distributed work environment.

What are some common challenges faced by home based remote algorithms engineers, and how can they be effectively managed?

Home Based Remote Algorithms Engineers often face challenges such as limited real-time collaboration, managing complex projects independently, and maintaining clear communication with distributed teams. To overcome these obstacles, it is important to leverage collaboration tools (like Slack or GitHub), set regular check-ins with team members, and establish clear documentation practices. Proactively seeking feedback and participating in virtual code reviews also helps maintain alignment and ensures code quality while working remotely.

What is the difference between Home Based Remote Algorithms Engineer vs Data Scientist?

AspectHome Based Remote Algorithms EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Math, or related field; experience with algorithms and programmingBachelor's or Master's in Data Science, Statistics, or related field; proficiency in analytics tools
Work EnvironmentRemote, project-based, focused on algorithm developmentRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, software development companiesTech, finance, healthcare, marketing

Home Based Remote Algorithms Engineers focus on designing and optimizing algorithms, often requiring programming and mathematical skills. Data Scientists analyze data to extract insights, using statistical and machine learning techniques. While both roles can be remote and require similar educational backgrounds, their core responsibilities differ: algorithms engineers develop solutions, whereas data scientists interpret data.

What are popular job titles related to Home Based Remote Algorithms Engineer jobs in Ohio?

For Home Based Remote Algorithms Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Home Based Remote Algorithms Engineer jobs in Ohio look for?

The top searched job categories for Home Based Remote Algorithms Engineer jobs in Ohio are:

What cities in Ohio are hiring for Home Based Remote Algorithms Engineer jobs?

Cities in Ohio with the most Home Based Remote Algorithms Engineer job openings:

Home Based Remote Algorithms Engineer jobs near you

Computer Vision Software Engineer, Lead

Booz Allen Hamilton, Inc.

Dayton, OH • On-site, Remote

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 21 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants

Job description


Remote Work:
No
Job Number:
R0245705
Location:
Dayton,OH,US
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Computer Vision Software Engineer, Lead
The Opportunity:
As a Senior Computer Vision Engineer, you will design, develop, and optimize advanced computer vision and multi-sensor fusion algorithms supporting GEOINT-mission workflows. You will lead the development of deep learning models, real-time tracking systems, and GPU-accelerated pipelines deployed in operational environments. You will shape next-generation tools that integrate imaging physics, ML-based behavior inference, and multi-sensor fusion.
You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, and user-centric tools that accelerate mission outcomes.
What You'll Work On:
  • Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking.
  • Collaborate with multidisciplinary teams to design, develop, test, and deploy technical solutions in Python or C++.
  • Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications.
  • Contribute to the architecture and implementation of novel single and multi-sensor detection and tracking and fusion of targets.

Join us. The world can't wait.
You Have:
  • 6+ years of experience developing computer vision algorithms for detection, tracking, or multi-sensor fusion in remote sensing or GEOINT environments
  • 2+ years of experience applying deep learning to computer vision problems using transformer-based or self-supervised architectures
  • Experience implementing model pipelines in Python or C++, including training, evaluation, and deployment workflows
  • Experience with administration of continuous integration or continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins
  • Experience with Agile methodology, extreme programming, software engineering, product management, and software products, and acquiring client requirements and resolving workflow problems through automation optimization
  • Knowledge of GPU-accelerated development using CUDA, RAPIDS, or GPU programming frameworks
  • Knowledge of classical tracking or estimation methods such as Kalman or extended filters, to support real-time algorithm development
  • Ability to design, test, and optimize algorithms for operational performance in constrained computing environments such as multi-GPU servers or cloud
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree in a STEM field

Nice If You Have:
  • Experience with GPU-accelerated deep learning, including CUDA kernel development, TensorRT optimization, RAPIDS, or distributed multi-GPU training
  • Experience developing synthetic data, kinematic target models, or scenario simulation tools to support algorithm training or evaluation
  • Experience with advanced estimation, tracking, and fusion techniques such as joint multi-sensor registration, Bayesian fusion, particle filters, or deep multi-object tracking pipelines
  • Experience with MLOps or scalable deployment systems, including Docker, Kubernetes, ONNX Runtime, or Triton Inference Server
  • Experience building or optimizing microservice architectures or distributed systems for real-time data processing
  • Experience integrating CV models into edge, embedded, or latency-constrained operational environments
  • Experience with transformer-based vision architectures beyond DINO, CLIP, or SAM such as ViT variants or self-supervised multi-modal encoders
  • Experience with cloud ML platforms such as AWS GovCloud, Azure ML, or on-premises GPU clusters
  • Knowledge of geospatial data formats, sensor phenomenology, or remote-sensing exploitation workflows
  • Master's degree in CS, Electrical Engineering, Computer Engineering, AI/ML, Physics, or Mathematics preferred; Doctorate degree in CS, Electrical Engineering, Computer Engineering, AI/ML, Physics, or Mathematics a plus

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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