Machine Learning Engineer

Who we are

“Our supply chain lacks visibility!”

– Every Pharmaceutical supply chain, transportation and quality executive.

Although that’s not quite accurate. In fact, most companies already have an abundance of IoT and passive logger data. What they don’t have is contextual and operational data that enables -- action.

PAXAFE bridges the trust gap between manufacturers, shippers and service providers by contextualizing data into meaningful information. We believe that the intersection between supply chain, technology and insurance is ripe for innovation, and we believe that we can become the most accurate arbiter of quantifying, predicting and underwriting supply chain risk.

Because the scariest notion in business: “we’ve always done it that way.”

What we do

PAXAFE provides an autonomous AI-enabled decision support system for supply chain leaders to exhibit resiliency and automation from their visibility investments.

PAXAFE’s SaaS platform — CONTXT — is a device-agnostic risk-management platform (powered by ATHENA LLM) that automates lane mapping and temperature management workflow, minimizes product and lane qualification lead times and reduces overall product loss for Life Science shippers and service providers.

PAXAFE contextualizes active and passive visibility data, quantifies risk and predicts OTIF adverse events.

Job Overview

As a Machine Learning with PAXAFE, you will work directly with internal Data, Product and Engineering teams to build new and enhance existing capabilities behind PAXAFE’s supply chain risk & intelligence platform. You analyze large amounts of raw information to find patterns that will help improve customer operations. You will work cross-functionally to take new product initiatives from the white board to production. This role will require writing robust Python software code while applying best software practices to support Machine Learning scientists with data exploration, designing ML pipelines, developing and maintaining model retraining pipelines, enhancing customer onboarding processes and ensuring efficient model deployment and API driven deployment of production-grade ML models to our AWS infrastructure.

Responsibilities

• Develop and maintain pipelines for retraining Machine Learning models, ensuring they remain accurate and effective over time

• Streamline the process of onboarding new shipping lanes, making it more efficient, automated and scalable

• Collaborate with the software development team to deploy Machine Learning models in a production environment, ensuring they are robust and scalable

• Work closely with software engineers, data scientists, and product teams to integrate Machine Learning models into the broader software infrastructure

• Continuously monitor, evaluate, and optimize the performance of deployed models, identifying opportunities for improvement

• Partner directly with product management to prioritize solutions impacting customer adoption to PAXAFE’s platform

Requirements

• 5+ years in Machine Learning, data science or related field

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.

• Proficiency in Machine Learning frameworks (e.g., TensorFlow, PyTorch) , API frameworks like Flask, experience with programming languages (e.g., Python) and AWS (e.g., ECS, S3, Codepipeline, Sagemaker)

• Demonstrated experience in deploying Machine Learning models in a production environment.

• Experience in developing and maintaining model retraining pipelines.

• Exceptional verbal and written communication skills, with the ability to present complex data to non-technical audiences.

• Bonus: Prior experience in transportation, supply chain, or logistics industry OR experience from a fast-growing startup, Big Tech or Supply Chain Visibility / Risk Management software

Culture at PAXAFE

We're an ambitious, growing, smart, and open-minded group. Our employees are passionate about our mission and eager to complete their work at the highest level. People first, people.

Fun stuff we do:

• Team on-sites

• Team off-sites

• Hackathons

• Silicon Valley Thursdays

• Monthly Game Fridays

• & so much more!

Perks up

PAXAFE offers:

· Competitive salary and performance-based bonus

· ESOP stock options

· 401(K) Match

· Comprehensive healthcare: Health | Dental | Vision 100% covered for Individual; 65% for Dependents

· Leadership & Development opportunities, courses and credits

· 5 Weeks PTO

· Remote-first culture where you can work from anywhere with a stable internet connection (Must be available to travel 2-3 times annually to on-site / off-site)

· Access to top tier venture capitalists, mentors, advisors and industry leaders through PAXAFE’s investor and advisor network

· 1 offsite retreat annually for team members located in North America

Core Values

In order to ‘build what can’t be built,’ we must bring on people who can ‘do what can’t be done.’

Every single person that we hire exhibits these values and characteristics:

· Create magic

· Own With Pride

· Navigate With Intent

· Think Deep, Act Fast

· X-hibit Teamwork

· Tackle With Empathy

PAXAFE is the world

PAXAFE stands for a culture of inclusion – just ask our Co-Founders, who each hail from India and Russia! We celebrate different backgrounds, experiences, and perspectives —encouraging everyone to bring their authentic selves to work. We have a diverse environment that empowers our team to feel comfortable when they voice their opinions. For these reasons and more, PAXAFE is a proud equal employment opportunity employer. We welcome everyone regardless of their race, color, religion, sex, national origin, age, disability, veteran status, or genetics, and we are dedicated to providing an inclusive, open, and diverse work environment.