Staff Machine Learning Engineer (Remote)

Jobot; Springfield (MA); Remote; USD 190,000 - 250,000; Full time

Job summary

An innovative startup is seeking passionate Staff Machine Learning Engineers to be part of their pioneering team. This role offers you the chance to make a significant impact by developing cutting-edge machine learning models and AI solutions to enhance patient care in the healthcare system. With a focus on optimizing processes and improving outcomes, you will work with advanced technologies and collaborate with cross-functional teams. Join a dynamic environment where your contributions will shape the future of healthcare technology and enjoy the potential for equity in a well-funded venture led by AI veterans. If you're eager to tackle complex challenges and drive meaningful change, this opportunity is for you!

Benefits

Equity options

Innovative work environment

Dynamic team

Opportunity for growth

Qualifications

• 7-10 years of experience in machine learning and AI solutions.
• Proficiency in Python, Go, Golang, and Rust required.

Responsibilities

• Design and deploy machine learning models and AI solutions.
• Collaborate with teams to develop innovative solutions.

Skills

Healthcare Revenue Cycle Management

Machine Learning

AI Solutions

Predictive Modeling

Python

Go

Golang

Rust

NLP

Problem-Solving

Tools

Keras

TensorFlow

GPT

Pandas

NumPy

Spark

Apache

Flask

Pipelines

Job description

This range is provided by Jobot. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$190,000.00/yr - $250,000.00/yr

Must Have Healthcare Revenue Cycle OR Payor Services Experience

This Jobot Job is hosted by Christian Aviles.

Salary $190,000 - $250,000 per year.

A Bit About Us

• NEW STEALTH STARTUP - IMMEDIATE OPPORTUNITY

Well Funded Seed ML HealthTech Startup-- Founders are AI Veterans of over 30 years and are Well Connected based on a History of SUCCESSFUL StartUp Launches already.

These are the FIRST ML/Data Science Hires -- Looking at Senior, Staff, Principal, etc. (multiple levels).

Contribute to Helping Patients in the Healthcare System -- "We" pay too much b/c of errors and other processes in healthcare, both monetarily and physically. These issues can be Optimized And Resolved by Machine Learning and we intend to do that.

Why join us?

• Innovation
• Feel GOOD about your Work
• Up to 1.5% of Equity - HEAVILY DEPENDANT ON MULTIPLE FACTORS

Job Details

• IMMEDIATE OPENINGS -- NO C2C OR SPONSORSHIP

Package Completely Dependent on Experience + Interview + Professional References.

Must Have Experience In Healthcare Revenue Cycle Management examples Medical Coding, RCM, Insurance Reimbursement, Claims, Patient Billing, etc.

We are on the hunt for passionate and dedicated Staff Machine Learning Engineers to join our dynamic team. This is an incredible opportunity to be one of the first hires and make a significant impact on our growing organization. You will be crucial in building and implementing machine learning models, creating AI solutions, and predictive modeling. This role requires a deep understanding of Python, Go, Golang, Rust, Keras, TensorFlow, GPT, Pandas, NumPy, Spark, Apache, Flask, and Pipelines. If you have an insatiable curiosity, a love for problem-solving, and a knack for creating efficient and innovative AI solutions, we would love to hear from you!

Responsibilities

• Design, develop, and deploy state-of-the-art machine learning models and AI solutions.
• Utilize your knowledge of Python, Go, Golang, Rust, and other related technologies to create innovative solutions.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Collaborate with cross-functional teams to understand their needs and develop solutions accordingly.
• Analyze large and complex data sets to derive valuable insights.
• Implement NLP solutions to improve our product’s understanding and interpretation of natural language.
• Optimize existing ML models and ensure they are up-to-date and functioning optimally.
• Apply your knowledge of Keras, TensorFlow, GPT, Pandas, NumPy, Spark, Apache, Flask, and Pipelines to solve complex problems.
• Stay updated with the latest machine learning trends, techniques, and technologies.

Qualifications

• MUST HAVE SPECIFIC EXPERIENCE IN HEALTHCARE REVENUE CYCLE MANAGEMENT
• Minimum 7-10 years of experience in a similar role, with a focus on machine learning, AI solutions, and predictive modeling.
• Proficiency in Python, Go, Golang, Rust, and other related technologies.
• Experience with machine learning frameworks such as Keras and TensorFlow.
• Experience with libraries such as GPT, Pandas, NumPy, Spark, Apache, Flask, and Pipelines.
• Solid understanding of NLP and its application in real-world scenarios.
• Excellent knowledge of machine learning algorithms and their application.
• Strong analytical and problem-solving skills.
• Ability to work in a fast-paced, dynamic environment and adapt to rapid changes.
• Excellent communication and collaboration skills.
• Strong passion for learning and staying updated with the latest trends in machine learning and AI.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds.