What are the responsibilities and job description for the Applied Scientist II position at IntePros?
Job Overview
We are seeking a skilled Applied Scientist with deep expertise in machine learning and large-scale algorithmic development to support the buildout of advanced software solutions for high-volume operational environments. This role requires strong scientific rigor, hands-on programming ability, and the capacity to develop or enhance algorithms that meaningfully improve user experience and system performance.
The ideal candidate brings expertise in areas such as machine learning, LLM-based systems, numerical optimization, data mining, high-performance computing, or related fields. Success in this role requires balancing independent research with collaborative engineering work, while evaluating feasibility, delivering accurate models, and advancing state-of-the-art approaches.
Key ResponsibilitiesScientific & Technical Leadership
We are seeking a skilled Applied Scientist with deep expertise in machine learning and large-scale algorithmic development to support the buildout of advanced software solutions for high-volume operational environments. This role requires strong scientific rigor, hands-on programming ability, and the capacity to develop or enhance algorithms that meaningfully improve user experience and system performance.
The ideal candidate brings expertise in areas such as machine learning, LLM-based systems, numerical optimization, data mining, high-performance computing, or related fields. Success in this role requires balancing independent research with collaborative engineering work, while evaluating feasibility, delivering accurate models, and advancing state-of-the-art approaches.
Key ResponsibilitiesScientific & Technical Leadership
- Assess feasibility, effort, and timelines for new initiatives requiring scientific invention or novel algorithmic development.
- Develop new algorithms or enhance existing models to improve product performance, efficiency, or customer impact.
- Apply expertise in ML, LLMs, and advanced computational methods to solve complex problems at scale.
- Remain current on emerging research in machine learning, natural language processing, data mining, and related areas.
- Program in Python, Java, or comparable languages to build models, prototypes, and production-ready solutions.
- Leverage ML and LLM services and frameworks, including tools such as Bedrock or Sagemaker equivalents.
- Utilize algorithms and techniques across parsing, numerical optimization, distributed computing, high-performance computing, and structured data processing.
- Work both independently and collaboratively with engineers, program managers, and operational teams.
- Participate in technical discussions, contribute to project direction, and help resolve scientific or algorithmic challenges.
- Communicate findings, feasibility assessments, and model behavior to technical and non-technical partners.
- Ensure accuracy, reliability, and quality in all scientific outputs and model deliverables.
- Contribute to milestone planning, track progress, and meet delivery deadlines.
- Follow best practices in model validation, testing, and documentation.
- Gain hands-on experience working with modern software tools and large-scale operational systems.
- Contribute scientific skill to projects with significant real-world impact.
- Bachelor’s degree in a relevant field; Master's or PhD strongly preferred.
- Experience programming in Java, Python, ReactJS/JavaScript, or similar languages.
- 3 years of experience with machine learning and LLM services (e.g., Bedrock, Sagemaker equivalents).
- 4 years of experience in one or more of the following:
- Algorithms & data structures
- Parsing
- Numerical optimization
- Data mining
- Parallel & distributed computing
- High-performance computing
- Java, Python, ReactJS/JavaScript, or related programming languages – 4 years
- Machine Learning & LLM Platform Experience (e.g., Bedrock, Sagemaker equivalents) – 3 years
- Algorithms, Numerical Optimization, Data Mining, or High-Performance/Distributed Computing – 4 years
