Wearable Health Algorithm Engineer

LifeLens Technologies Inc.

Ivyland (PA)

Presencial

USD 110 000 - 150 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

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Vantagens oferecidas por esta oferta de emprego

Health Insurance
401(k) matching
Stock option plan
Paid Time Off
Dental & Vision Insurance

Resumo da oferta

LifeLens Technologies, Inc. in Ivyland, PA, is hiring an Algorithm Developer to design and implement advanced algorithms for wearable health monitoring.

You will work on data processing pipelines for live sensor streams and historical data, collaborating with cross-functional teams to deliver robust, scalable solutions. The role requires solid CS fundamentals, proficiency in Python and C++, and experience with machine learning and data analysis.

Qualificações

  • Bachelor's or master's degree in Computer Science, Engineering, or related field.
  • 3+ years of work experience in related field.
  • Strong foundations in algorithms, data structures, and ML concepts.

Responsabilidades

  • Design, implement, and optimize algorithms for health-monitoring wearables.
  • Develop data processing pipelines for live and historical data.
  • Collaborate with hardware and software teams to integrate algorithms.
  • Analyze statistics and validate models with rigorous testing.
  • Document code and present results to stakeholders.
  • Ensure scalable and maintainable code.

Conhecimentos

Algorithms
Data structures
Python
C++
Machine learning
Data analysis

Formação académica

Bachelor's degree in Computer Science/Engineering
Master's degree preferred

Descrição da oferta de emprego

LifeLens Technologies, Inc. in Ivyland, PA, is hiring an Algorithm Developer to design and implement advanced algorithms for wearable health monitoring.

You will work on data processing pipelines for live sensor streams and historical data, collaborating with cross-functional teams to deliver robust, scalable solutions. The role requires solid CS fundamentals, proficiency in Python and C++, and experience with machine learning and data analysis.

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