Engineering Manager

Posted 5 Days Ago
Easy Apply
Hiring Remotely in United States
Remote
Senior level
Cloud • Logistics • Software • Transportation • Automation
The Role
As an Engineering Manager at Alvys, you will lead a team focused on integrating AI and ML solutions to optimize freight transportation logistics, guiding technical direction while mentoring engineers and collaborating with product teams.
Summary Generated by Built In
About the Role

Join Alvys, an early-stage company ambitiously transforming the nearly $1T US freight industry. As an Engineering Manager focusing on ML and AI, you will lead a talent-dense, US-based team tasked with automating workflows across our SaaS platform, enabling tenants to book more freight with lower costs. Your leadership will be instrumental in integrating advanced AI and ML solutions into our product, driving significant advancements in a sector crucial for the movement of goods.

This role is ideal for a technical leader with a strong background in machine learning, artificial intelligence, and data science. You will be responsible for guiding the technical direction of our AI initiatives, mentoring a team of engineers, and collaborating closely with product managers and designers to deliver innovative solutions that optimize freight transportation logistics.

Industry Insight

Transportation logistics is a complex and fragmented domain ripe for technological disruption. You will be at the forefront of using AI and ML to automate and standardize a sector that moves trillions of dollars' worth of goods annually, predominantly by truck, yet often lacks modern, efficient tools.

About Alvys

Alvys is on a mission to revolutionize transportation logistics. Combining hands-on industry experience with a world-class technical vision, we're building a multi-tenant SaaS platform that's becoming an essential tool for transportation companies.

Our Principles
  • AI-Driven Innovation: We are committed to harnessing the power of AI and ML to solve real-world problems in transportation logistics, bringing both practical and theoretical approaches to our solutions.
  • End-to-End Ownership: Our team operates with a high degree of autonomy and ownership, ensuring that solutions are fully integrated and maintained from inception to production.
  • Blameless Culture: We encourage learning from mistakes in a supportive, finger-pointing-free environment.
  • Core Values: Trust, transparency, and fairness are fundamental to our operations and the solutions we develop.
Tech Stack

Our cloud-native environment utilizes Azure, .NET/C#, CosmosDB, and Cognitive Search. We leverage a variety of AI and ML frameworks and tools to build predictive models, optimize operations, and develop intelligent reporting systems. Our frontend technologies include JavaScript, TypeScript, Angular, Dart, and Flutter, with monitoring and alerting managed via Azure Monitor & Application Insights.

Minimum Qualifications
  • A Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
  • 8+ years of experience in software engineering, with at least 3 years focusing on machine learning, AI, and data science.
  • Proven track record in developing and deploying ML models and AI solutions at scale.
  • Proficiency in one or more programming languages such as Python, C#, or Java, with strong knowledge of ML frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Experience with cloud platforms (Azure preferred) and deploying AI/ML solutions in a cloud-native environment.
Preferred Qualifications
  • Experience in leading and managing engineering teams, with a focus on AI and ML project execution.
  • Strong understanding of data engineering and the ability to work with large-scale data processing and analysis.
  • Familiarity with Azure ML services, MLOps, and CI/CD pipelines for ML model deployment.
  • Experience in the logistics or transportation industry, providing insight into industry-specific challenges and opportunities for AI applications.
  • Excellent communication skills, with the ability to work cross-functionally with product managers, data scientists, and engineers to deliver impactful AI solutions.

Equal Employment Opportunity

Alvys is an equal opportunity employer and as such, we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws.

We are dedicated to growing a diverse team of highly talented people. We’re dedicated to building a workplace where we give each other the strategies, support, and space we each need to thrive—believing in and bringing out the best of everyone.

If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.

For information about Alvys's privacy practices, see our Privacy Policy.

Top Skills

.Net/C#
Angular
Azure
C#
Cosmosdb
Dart
Flutter
Java
JavaScript
Python
PyTorch
Scikit-Learn
TensorFlow
Typescript
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The Company
HQ: Solana Beach, CA
134 Employees

What We Do

Our mission is to help carriers and brokers thrive by boosting their business efficiency. Trucking companies are the backbone of logistics, and we aim to be the backbone of every trucking company.

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