Natural Intelligence Systems
Boise, ID (United States)
Linux Python REST
Our company develops game-changing Artificial Intelligence systems that are modeled on properties from the human neocortex, opening new frontiers for true machine intelligence. We are seeking amazing individuals with high drive and creativity to join us in our quest. If you love applying your creativity to challenging problems and the thought of enabling a new AI paradigm makes you tingle, then you might be the person were looking for.
What you will be doing
In this role, you will learn to build and improve NIS proprietary pattern-based machine learning models to solve challenging and exciting customer problems. As part of a startup, you will also be building the airplane as we fly, developing and testing solutions and disseminating your results with the rest of the team. You will find new discoveries by digging deep into our models behavior and take part in new and innovative ways of tackling challenging problems in the healthcare, space, and defense industries.
This is a junior-level position that supports the Data Science and Analytics department in developing models that solve internal and external customers needs. This position will be rapidly evolving to fit the candidate and offers plenty of room to grow and endless possibilities for success.
Primary Responsibilities and Opportunities:
- Translate customers needs and objectives into operationalized questions that can be answered with a novel, pattern-based solution that achieves a high level of customer satisfaction.Aggregate, transform, and pre-process structured and unstructured data in clever ways in preparation for use in training and deploying models in Python. Perform EDA to tell the story of the evolution of the data from receipt until model input. Know the data like the back of your hand!Develop algorithms, write scripts, build predictive models using our proprietary pattern-based machine learning system. When possible and using the right tools/frameworks, apply automation to provide our customers with a rich understanding of their data.Report results and recommendations to internal and external clients, demonstrating high-level analytical, communication, and technical skills.Synthesize results across multiple projects to contribute to training materials within the organization and for our users. Over time, develop a keen intuition for how our model responds and be able to convey that knowledge to others with excellent presentation and communication skills.With good knowledge of data distributions, generate synthetic datasets under highly organized and structured conditions. Apply the scientific method in designing studies to analyze and characterize the performance of our proprietary patten-based model.
Qualified candidates will meet the following requirements and bonus points will be awarded if you meet some of the preferred attributes.
- 1-2 years of experience building statistical and machine learning models, especially in crafting data for analysis (preprocessing data and creating train, validation, and test datasets), performing model tuning and development.You have stellar python programming skills and experience using common machine learning packages like sci-kit learn, pandas, keras, tensorflow, SymPy etc.You must hold a Bachelors degree with coursework (incl MOOCs) completed in statistical methods and machine learning.Your values are in line with our values (Customer, Independent Thinking, Innovation, Commitment, Integrity, and Selfless Leadership). You have a long a track record of actions that support your integrity and independent thinking.You are familiar with model characterization, including generating synthetic data and analyzing and results for dissemination. This type of work excites you!You are an independent worker and able to problem solve and find solutions on your own but also participate and collaborate with others on your small team. You possess excellent technical writing skills that allow you to clearly describe complex technical findings and narrate the evolution of models you build.You are a proactive communicator and are comfortable providing updates to leadership to keep them informed of the status of your work.You are a self-starter who meets deadlines and is excited to work in a start-up environment with changing and competing priorities.Strong Linux skillsExperience working on image classification3-5 years of experience building statistical and machine learning modelsFamiliarity with healthcare (EMR/EHR) data and experience working with federal agencies like the FDA.Experience in building algorithms to automate the search of a models hyperparameter space.Familiar with using and designing ML pipelines.Familiarity with developing and executing models in AWS Familiarity with the scientific design process.
- Strong Linux skillsExperience working on image classification3-5 years of experience building statistical and machine learning modelsFamiliarity with healthcare (EMR/EHR) data and experience working with federal agencies like the FDA.Experience in building algorithms to automate the search of a models hyperparameter space.Familiar with using and designing ML pipelines.Familiarity with developing and executing models in AWS Familiarity with the scientific design process.
- Health care plan (Medical, Dental & Vision)Paid time off (Vacation, Sick & Public Holidays)Equity AwardsWork from homeFree snacks in the office
At Natural Intelligence we embrace differences in age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status and other characteristics that make each of us unique. We are proud to be an Equal Opportunity Employer and celebrate a culture based upon integrity, respect, diversity and inclusion.
Natural Intelligence Systems <p></p> Address Boise, ID USA View all jobs at Natural Intelligence Systems Report Job