Machine Learning Engineer (Fully Remote) at Call Simulator

Machine Learning Engineer (Full-Time, Fully Remote)

Includes model design, implementation, deployment, and testing within a data-centric AI focus

Location:

Headquarters in Tallahassee, FL (fully-remote position)

Compensation:

$100,000 - $160,000 commensurate with experience

Summary of Qualifications:

2+ years of combined experience in ML engineering or theory
Proven track record of producing machine learning models at scale (publications, posters, blogs, Github)
Experience with NLP, STT, TTS, or any component within a dialogue system

Full Job Description

Call Simulator is a well-funded growth-stage company harnessing the power of artificial intelligence for good. We provide an AI-based emergency call training platform that fully integrates with Priority Dispatch's ProQA software, used by over 3,700 9-1-1 emergency call centers around the world. In a nutshell, we have created the inverse of a chatbot where our technology simulates a caller instead of the agent. This augmented-training software reduces the need for expensive human role-playing, while dramatically increasing the proficiency of call center agents. We have already gone past the proof-of-concept phase and are currently generating revenue from clients. Although our initial focus is with 9-1-1 emergency call centers, our vision is to expand this model into other industries such as banking, telehealth, insurance, and tier-1 brand customer support.

How this role is important to the company: We are looking for a highly-motivated Machine Learning Engineer to join our team.

You might be a good fit if you:

Enjoy the excitement involved with a growth-phase company
Are highly creative and come up with unique solutions to technical problems
Prefer wearing a lot of different "hats" in a company instead of specializing in just one department
Love researching new technologies, especially those related to AI
Thrive when you are given autonomy on how to meet your goals
Love complex problem solving and seeing solutions where others may not
Prefer working for an ethical organization that focuses on how technology can be used for the good of society, not simply making excessive amounts of profits
Find joy in the rigor of academic research but also with the focus and practical nature of commercialization

A little bit about the workplace culture at Call Simulator:

When applying for a new job, we feel that it's important for you to know about the workplace culture. Based in Tallahassee, FL, Call Simulator is a growth-stage company of six (6) employees that uses top-of-the-line systems to operate fully remotely and with flexible scheduling. We find creative ways to foster that "close-knit" feeling without sharing the same physical space and know this will be critical as we continue to expand our team. Call Simulator values the non-traditional thinkers, the rebels, the disruptors- we work best by brainstorming and harnessing organic creativity.

Machine Learning Engineer's Essential Functions:

Work with a team of academics and ML experts to develop, train, deploy, and improve NLP ML models
Exercise machine learning best practices such as model validation before training, scalable deployment, bias analysis, model introspection, and model monitoring
Exercise software engineering best practices such as test-driven development, rich documentation, code reviews, version control, and DRY/YAGNI principles
Contribute to our data-centric AI focus by helping our product team understand how to extract labels and content from the users to enhance existing ML models and develop new ones
Develop and maintain application-specific ETL pipelines and MLOps in conjunction with the product team
Present results to ML team with a focus on motivating modeling and training decisions with ML theory and recent research

Required skills/experience:

2+ years of relevant professional experience
Strong familiarity with deep learning frameworks (at least one: Tensorflow, PyTorch, JAX)
Familiarity with machine learning frameworks such as pandas and scikit-learn
Experience deploying models in the cloud (AWS, Azure, GCP)
Familiarity with NLP models and frameworks (at least one: Huggingface, NLTK, SpaCy, or Gensim)
Knowledge of MLOps and Pipelining tools such as MLflow, Airflow, Luigi
Ability to query, manage, transform, and integrate data from SQL and NoSQL databases (PostgreSQL, Firestore)

Recommended or preferred skills/experience:

Strong experience with the GCP platform (Dataflow, Cloud Functions, Cloud Run, etc)
Theoretical knowledge of Language Modeling, Sentiment and Tone analysis, and Text-to-Speech algorithms
Worked on enterprise scale machine learning models with tools such as Hadoop, Spark, and BigQuery

Benefits

Here at Call Simulator, we understand that highly satisfied employees are key to a thriving business. This is why we offer:

A workplace culture that supports collaboration, teamwork, and professional growth
Competitive annual salary of $100,000 - $160,000 commensurate with experience
Health, dental, and vision insurance
Fully remote work with flexible schedule