We are looking for a Principal Engineer to join our growing team and advance our AI product, InsightAI. We are excited about this new product we're incubating that already has revenue and traction with over a dozen large customers while still in its infancy.InsightAI is a SaaS product consisting of a Conversational AI tuned to gather workforce information and sentiments at scale and a core engine that leverages ML and Deep Learning in various areas including NLP, NLU, Knowledge Graphs to produce innovative and valuable insights to customers. We apply state of the art AI techniques in the workforce insights and reporting domain to invent new models and systems that can be used to inform our customers on critical actionable information to improve productivity and sentiments. Responsibilities
Lead Insight AI platform's ML capabilities working closely with the engineering and product teams and being the voice of the company for AI. Apply research methods and develop a systemic approach to new AI model development, testing and deployment to meet strategic needs of the product platform. You responsibilities include -
Develop and fine-tune language and machine learning models to help generate key insights sourced from user generated text applying topic modeling, semantic clustering, text classification, document clustering, text generation
Develop in-house machine learning tools and pipelines to support fast experimentation of machine learning models.
Work closely with Devops teams to build MLops capabilities
Design and develop new machine learning based analytics techniques to extract more specific and actionable insights from the conversational text to help generate reports with current and historical data grouped by attributes
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Create tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
Work closely with engineering team to develop analytical data models and help build tools for data extraction, transformation and load.
Excellent coding skills in Python is a must, Java or R will be a plus.
Excellent working skills with AWS services, especially SageMaker, AWS ML Pipelines
Qualifications The ideal candidate is an experienced and hands-on expert in the areas of NLP, NLU/Conversational AI and Machine Learning with extensive experience in fine-tuning pre-trained transformer based models like GTP-3 and BERT. We envision our InsightAI product being so successful that it will likely spin out to another company, and a handful of VC have already shown interest. This means you can grow with us and become one of the key leaders at the ground floor in the new venture. Specific qualifications include:
You have an exceptional track record of successfully delivering large scale ML/NLP models and systems that result in substantial positive impact to customers (5+ years)
Have several years of professional experience developing production level algorithms, with a proven track record of successfully shipping applied research to end user based applications
Several years of working experience developing ML applications using Micro-Services and Serverless technologies with NoSQL and Graph databases.
You are an able problem solver who enjoys identifying business problems to which core machine learning techniques can be used to solve. You are adept at identifying simple solutions to complex problems.
You will have a solid understanding of Machine Learning, Deep Learning, NLP, NLU/Conversational AI and Knowledge Graph.
You have prior experience as a machine learning modeler/scientist/engineer and are familiar with the workflow and motivations of machine learning modelers and engineers.
Expertise in developing or applying predictive analytics, statistical modeling, data mining, or machine learning algorithms, especially at scale
Creative and strategic thinker with a change agent mindset who enjoys identifying business problems with the highest impact for customers and designing end-to-end ML/NLP models and systems to address them.
Are a skilled technical influencer with a track record of successfully influencing product direction through a strong perspective that motivates engineers to develop simple, pragmatic solutions to complex problems.
You are an expert communicator with clear and concise, active listening and empathy skills, and a respectful, collaborative approach that earns the trust of your peers
You have a get stuff done attitude, have great positive energy, and thrive in a fast paced environment.
You are a skilled technical influencer and have a track record of successfully influencing product direction. You have a respectful, collaborative approach that earns the trust of your peers and stakeholders.
Requirements
MS or PhD in machine learning, computer science, math or equivalent work experience.
7+ years of experience as a hands-on expert-level practitioner of machine learning and natural language processing. You have built large scale machine learning models and systems. Experience in modeling in Natural Language Processing is a must. Having conducted research and published peer-reviewed articles in a Machine Learning field is a plus.
5+ years of experience leading large ML initiatives in SaaS or tech product startups/companies .
Strong expertise and experience in hyper-parameter tuning of ML using ensemble approaches, supervised and unsupervised algorithms in Deep Learning and Dimensionality Reduction using Python or R.
Track record of innovation and having taken large machine learning based products and features from conception to successfully delivering value to customers in production.
5+ years of experience building ML and NLP solutions using Python on AWS and familiar with AWS ML pipelines (SageMaker pipelines is a plus)
Very strong expertise in using Hugging Face Transformers, Tensorflow 2.x, Keras or MXNet, PyTorch
Fine-tuned Hugging Face pre-trained models on AWS GPU instances and used with SageMaker for inference
Experience with containerized platform such as Docker, Kubernetes or ECS
Experience with RESTful API Design, Microservice Architecture, Service Mesh and GraphQL / Cypher
Know-how with CI/CD: Github Action, Jenkins pipelines, MLOps: MLflow, Kubeflow
Experience with Pub/Sub systems such as Service Bus, Kafka is a plus.
Hands-on experience with Spark, Databricks is a plus
Experience in test-driven development and behavior-driven development
Strong written and verbal communication skills.
Excellent analytical abilities.
Excellent communication skills.
U.S. Citizenship required
Must be COVID-19 vaccinated or vaccinated at the time of employment.
Location :Can be primarily remote, ideally you will be able to establish residency in California, preferably in the bay area. About BMNT At BMNT, we primarily help government organizations identify and solve problems at scale and at startup speed. Our team provides services and builds software products to fulfill this mission. Our work has quietly saved taxpayers billions of dollars and deployed lifesaving technologies to parts of the world where they're needed most. In 2020 we launched our first natural language processing (NLP) and machine learning (ML) based SaaS product for our customers that is gaining strong traction. If you're passionate about working on products that deliver visible global impact, we'd love for you to join our team.
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