{"schemaVersion":"jobsearcher.job.v1","id":"4153cbe1cd15b19a17d4e937","url":"https://jobsearcher.com/jobs/4153cbe1cd15b19a17d4e937","canonicalUrl":"https://jobsearcher.com/jobs/4153cbe1cd15b19a17d4e937","title":"Algorithm Engineer","description":"Algorithm Engineer Overview\nAn Algorithm Engineer is a compelling career path for engineers who want to build the intelligence behind modern systems.\n\nWhat Is an Algorithm Engineer?\nAn Algorithm Engineer designs, implements, and optimizes computational algorithms that power intelligent systems - translating mathematical theory into production-grade software for real-time applications. Day to day, they research algorithmic techniques from scientific literature, write and validate code across languages like Python, C++, and MATLAB, and collaborate with hardware, software, and product teams to integrate their work into scalable pipelines. Based on Lamwork's research across Algorithm Engineer job data, this role is among the most technically specialized within engineering organizations, requiring mastery of machine learning, signal processing, and embedded systems to deliver reliable, high-performance outputs at scale.\n\nAlgorithm Engineer Key Responsibilities\n\nDesign machine learning and signal processing algorithms to solve complex real-time data problems and improve system performance across embedded and cloud environments.\n\nBuild production-ready software implementations in Python, C++, and MATLAB, ensuring stability, efficiency, and maintainability throughout the development lifecycle.\n\nAnalyze algorithm performance using comparative data evaluation, simulation results, and structured unit testing to identify and resolve bottlenecks.\n\nDeploy validated algorithm stacks through integration with cross-functional software and hardware teams, supporting full lifecycle rollout from prototype to commercial release.\n\nOversee technical documentation, including design specifications, validation reports, and test case artifacts, to maintain engineering traceability and compliance with development standards.\n\nAlgorithm Engineer Required Skills\nAccording to Lamwork's job market data, the following skills appear consistently across Algorithm Engineer postings, forming the core technical and interpersonal foundation employers expect.\n\nHard Skills: Machine Learning and Deep Learning Frameworks (TensorFlow, PyTorch), Computer Vision and Image Processing (OpenCV), Signal Processing and Embedded Systems Development, Programming Languages (Python, C/C++, MATLAB), Feature Engineering and Model Validation Workflows\n\nSoft Skills: Analytical Thinking, Cross-Functional Collaboration, Problem Solving, Technical Communication, Adaptability\n\nTypical Career Progression for an Algorithm Engineer:\n\nJunior Algorithm Engineer\n\nAlgorithm Engineer\n\nSenior Algorithm Engineer\n\nLead Algorithm Engineer / Principal Scientist\n\nAlgorithm Engineer Certifications\nCertified Embedded Systems Engineer (CESE) - recognized credential for embedded software and systems integration expertise\n\nProfessional Certificate in Machine Learning and AI (PCM-AI) - industry-recognized program for applied ML across engineering contexts\n\nNVIDIA Deep Learning Institute Certification (DLI) - validates hands‑on GPU-accelerated deep learning implementation skills\n\n#J-18808-Ljbffr","company":"Lamwork","rawCompany":"lamwork","city":"Brooklyn","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-09-19T03:17:00.126Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Algorithm Engineer","description":"Algorithm Engineer Overview\nAn Algorithm Engineer is a compelling career path for engineers who want to build the intelligence behind modern systems.\n\nWhat Is an Algorithm Engineer?\nAn Algorithm Engineer designs, implements, and optimizes computational algorithms that power intelligent systems - translating mathematical theory into production-grade software for real-time applications. Day to day, they research algorithmic techniques from scientific literature, write and validate code across languages like Python, C++, and MATLAB, and collaborate with hardware, software, and product teams to integrate their work into scalable pipelines. Based on Lamwork's research across Algorithm Engineer job data, this role is among the most technically specialized within engineering organizations, requiring mastery of machine learning, signal processing, and embedded systems to deliver reliable, high-performance outputs at scale.\n\nAlgorithm Engineer Key Responsibilities\n\nDesign machine learning and signal processing algorithms to solve complex real-time data problems and improve system performance across embedded and cloud environments.\n\nBuild production-ready software implementations in Python, C++, and MATLAB, ensuring stability, efficiency, and maintainability throughout the development lifecycle.\n\nAnalyze algorithm performance using comparative data evaluation, simulation results, and structured unit testing to identify and resolve bottlenecks.\n\nDeploy validated algorithm stacks through integration with cross-functional software and hardware teams, supporting full lifecycle rollout from prototype to commercial release.\n\nOversee technical documentation, including design specifications, validation reports, and test case artifacts, to maintain engineering traceability and compliance with development standards.\n\nAlgorithm Engineer Required Skills\nAccording to Lamwork's job market data, the following skills appear consistently across Algorithm Engineer postings, forming the core technical and interpersonal foundation employers expect.\n\nHard Skills: Machine Learning and Deep Learning Frameworks (TensorFlow, PyTorch), Computer Vision and Image Processing (OpenCV), Signal Processing and Embedded Systems Development, Programming Languages (Python, C/C++, MATLAB), Feature Engineering and Model Validation Workflows\n\nSoft Skills: Analytical Thinking, Cross-Functional Collaboration, Problem Solving, Technical Communication, Adaptability\n\nTypical Career Progression for an Algorithm Engineer:\n\nJunior Algorithm Engineer\n\nAlgorithm Engineer\n\nSenior Algorithm Engineer\n\nLead Algorithm Engineer / Principal Scientist\n\nAlgorithm Engineer Certifications\nCertified Embedded Systems Engineer (CESE) - recognized credential for embedded software and systems integration expertise\n\nProfessional Certificate in Machine Learning and AI (PCM-AI) - industry-recognized program for applied ML across engineering contexts\n\nNVIDIA Deep Learning Institute Certification (DLI) - validates hands‑on GPU-accelerated deep learning implementation skills\n\n#J-18808-Ljbffr","datePosted":"2026-09-19T03:17:00.126Z","dateModified":"2026-09-19T03:17:00.126Z","hiringOrganization":{"@type":"Organization","name":"Lamwork","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4153cbe1cd15b19a17d4e937"},"url":"https://jobsearcher.com/jobs/4153cbe1cd15b19a17d4e937"}}