Career & opportunities
Applied Algorithmic Researcher
NLP Specialist
Maverick Medical AI is set to revolutionize medical coding from tedious human intensive operation into autonomous coding. We’re hiring an NLP specialist to conduct Applied Algorithmic Research in the CTO group. This role is suitable for experienced and proficient applied algorithmic researchers with significant NLP background who perform reproducible research and apply attention to automation and maintainability of their research workflows and deliverables.
The desired persona has solid education, background and experience in applied algorithmic research as well as in engineering. You will own all aspects of applied research for autonomous coding of a medical sub-specialty.
Maverick Medical AI is set to revolutionize medical coding from tedious human intensive operation into autonomous coding. We’re hiring an NLP specialist to conduct Applied Algorithmic Research in the CTO group. This role is suitable for experienced and proficient applied algorithmic researchers with significant NLP background who perform reproducible research and apply attention to automation and maintainability of their research workflows and deliverables.
The desired persona has solid education, background and experience in applied algorithmic research as well as in engineering. You will own all aspects of applied research for autonomous coding of a medical sub-specialty.
Job Description Summary
As an NLP Specialist you will work in the CTO group and be responsible for tasks across all of the applied algorithmic research aspects of allowing Maverick to support autonomous coding for a medical subspecialty.
Responsibilities
Providing high coverage and fidelity autonomous coding for your assigned medical specialty. This includes, of course:
- Data acquisition
- Interaction with domain experts including
- Annotation team(s)
- Auditors
- Interacting with:
- Product Managers
- Peer researchers
- Research engineering
- Data cleaning
- Coding consistency
- Synthetic medical data generation
- Designing, training, evaluating, improving and maintaining machine learning models, including cutting edge deep learning models.
- Designing, implementing and maintaining machine learning and research pipelines
- Conducting applied algorithmic and reproducible research
- Delivering timely updates to ever improving autonomous coding capabilities
Qualifications and requirements
- M.Sc. (Phd preferred) in Computer Science, research track, ideally with a thesis in deep learning, computational linguistics, knowledge graphs
- Proven ability of conducting reproducible applied research
- Ability of articulating research questions, goals, outline, work plan, results and insights
- High proficiency in Python and its data science stack (Pandas, sklearn, Jupyter notebooks, etc.)
- 3+ years of experience in applied research
- 2+ years of hands-on experience in engineering in production environments
- NLP/NLU/NLG experience in document classification, text generation, summarization, NER
- Deep understanding of artificial deep neural networks architectures, algorithms, infrastructure, tooling and practices, specifically in NLP/NLU/NLG
Contact:
jobs@maverick-ai.com or directly contact the CTO at shlomo@maverick-ai.com
MLOps/Data Engineer
Maverick Medical AI is set to revolutionize medical coding from tedious human intensive operation into autonomous coding. We’re hiring an MLOps/data Engineer to conduct and support our applied algorithmic research. This role is suitable for experienced and proficient machine learning engineers with ML ops background who design, build, test and maintain production workflows and deliverables for machine learning based products.
The desired persona has solid education, background and experience in engineering in a cloud environment as well as in machine learning.
The desired persona has solid education, background and experience in engineering in a cloud environment as well as in machine learning.
Job Description Summary
You will design, develop, and optimize ML model pipelines, and scale our models from research to production.
Responsibilities
Building and improving our engineering infrastructure to enable and scale our applied algorithmic research and development. On a day to day, some of your responsibilities will include:
- Design, Develop, Test and Maintain ETLs and services for integrating with our customer’s various data systems.
- Design, Develop, Test and Maintain ETLs and services for building our own data processes to accommodate applied research needs as well as production needs.
- Finding performance bottlenecks in our data pipelines and our machine learning pipelines and resolving them
- Develop end-to-end algorithmic solutions for complex ML problems – from research and training models, through design, development, evaluation and optimization.
- Develop train and inference engine pipelines in a large scale distributed system.
- Transform NLP and data related ML/DL algorithmic approaches into efficient and optimized production-ready solutions.
- Design, Implement and Optimize ML/DL and research pipelines to improve algorithm’s performance.
- Transform high-level product requirements into technical requirements
- Brainstorm and prototype algorithmic improvements.
- Work in an ambiguous environment and collect requirements from different personas in the company (Product, FE, Research, etc.)
- Advise and collaborate with researchers on DL software engineering aspects (such as tools and practices).
Requirements
- M.Sc. (Phd preferred) in Computer Science, Engineer, or equivalent, ideally with a thesis in deep learning
- Proven track record in MLOps, ML/DL engineering
- High proficiency in Python and its data science stack (Pandas, sklearn, etc.).
- Deep understanding of artificial deep neural networks architectures, algorithms, infrastructure, tooling and practices, ideally in NLP/NLU/NLG.
- Hands-on experience with design, implementation and optimization of deep learning models using common frameworks (TensorFlow, PyTorch, HuggingFace, etc.)
- Model optimization techniques – familiarity with testing and hyperparameter optimization tools and frameworks.
- 3+ years of hands-on experience in engineering in production environments
- 2+ years of experience in ML
- Experience in the following technologies: Dockers, Kubernetes, Aws, MongoDB
- End to end experience – owning feature from an idea stage, through design, architecture, coding, integration, deployment, and monitoring stages
Advantages
- NLP/NLU/NLG experience in document classification, text generation, summarization, NER
- Proven ability of conducting reproducible applied research in ML
- Working with medical data on healthcare data projects
- Experience in the following technologies: Spark/Hadoop, Airflow, Redis, Kafka
- Go programming language proficiency
Contact:
jobs@maverick-ai.com or directly contact the CTO at shlomo@maverick-ai.com