DEKA Research & Development Corp.
Independent R&D lab developing medical devices
Machine Learning Engineer
Relocation is not available; local candidates only.
About the job
- A Master of Science degree in Computer Science, AI, or a related field is required.
- At least 6 years of experience in backend software engineering and distributed systems is required.
- Strong proficiency in Java, including Spring Boot, Spring MVC, and Hibernate, is required.
- Strong proficiency in Python is required.
- Hands-on experience building and deploying production machine-learning models using PyTorch or an equivalent is required.
- Experience with distributed systems and streaming technologies, including Apache Kafka, Apache Spark, and ZooKeeper, is required.
- A solid understanding of microservices architecture, REST and SOAP APIs, and object-oriented design is required.
- Experience with relational and NoSQL databases, including Oracle, IBM Db2, MSSQL, and MongoDB, is required.
- Familiarity with AWS or equivalent cloud platforms is required.
- Strong problem-solving skills are required.
- The ability to understand how systems work and improve them is required.
- The ability to communicate and collaborate across engineering, data, and product teams is required.
- Strong attention to detail is required.
- Design and implement scalable backend services and microservices that power data-intensive, real-world applications.
- Build and deploy production machine-learning models across the full lifecycle, from feature engineering and training through evaluation, deployment, and monitoring.
- Develop and maintain event-driven distributed pipelines using Apache Kafka, Apache Spark, and related technologies.
- Architect systems that integrate machine-learning models with rule-based decision engines for automated, real-time decision-making.
- Collaborate across disciplines to translate complex requirements into reliable engineering solutions.
- Contribute to artificial-intelligence and large-language-model-driven workflows and orchestration systems.
About the company
DEKA Research & Development Corp. is a leading engineering R&D lab in Manchester, New Hampshire that develops a wide range of practical technologies and devices. It operates by interdisciplinary teams of engineers, machinists, designers, and technicians who take ambitious ideas and turn them into tangible products using advanced design and manufacturing methods. The company differentiates itself through its culture of hands-on experimentation, diverse project portfolio, and a track record of bringing to market or translating ideas into real-world applications. Its goal is to create technologies with a positive, lasting impact on people’s lives by solving meaningful problems.
Company Size
501-1,000
Company Stage
N/A
Total Funding
N/A
Headquarters
Manchester, New Hampshire
Founded
1982
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Simplify's Take
What believers are saying
- Diatech acquisition on October 7, 2025 deepened DEKA’s diabetes delivery stack.
- Emergex collaboration keeps DEKA’s intradermal applicator active across 2026 biotech pipelines.
- Revelio counted 872 employees in March 2026, and hiring stayed active.
What critics are saying
- Sequel Med Tech drives twiist commercialization; any 2026 launch miss starves DEKA royalties.
- Dean Kamen’s February 2026 Epstein scrutiny pressures recruiting, partnerships, and nonprofit ties.
- DEKA’s revenue depends on a narrow medical-device portfolio; one regulatory failure hurts everything.
What makes DEKA Research & Development Corp. unique
- Dean Kamen’s 1982 engineering bench produced LUKE, iBOT, and twiist.
- DEKA owns core infusion and microneedle IP, not just outsourced design.
- FDA cleared twiist in 2025, proving repeatable regulated-device execution.
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Company News
- Emergex has entered into an agreement with DEKA Research & Development ('DEKA') to assess the compatibility of Emergex's T cell-priming set-point immunotherapeutic candidates with DEKA's Intradermal Therapeutic Applicator.
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