Sr Machine Learning Engineer

Why project44

At project44 we believe in better.

We challenge the status quo because we know a better supply chain isnt just possibleits essential. Better for our customers. Better for their business. Better for the world.

With our Decision Intelligence Platform Movement were redefining how global supply chains operate. By transforming fragmented logistics data into real-time AI-powered insights we empower companies to connect instantly see clearly act decisively and automate intelligently. Our Supply Chain AI enhances visibility drives smarter execution and unlocks next-gen applications that keep businesses moving forward.

If youre driven to solve meaningful problems leverage AI to scale rapidly drive impact daily and be part of a high-performance team we should talk.

Description:

project44 is looking for a Staff Machine Learning Engineer to join our engineering team. You will work in a fast-paced Agile environment designing building and implementing best-in-class integrations to accelerate how project44 connects to the worlds logistics networks.

About the Role

• Staff ML Engineerto lead the development of next-generation AI/ML systems at Project44 spanning ETA risk anomaly detection and supply chain intelligence. This role sits at the intersection of applied modeling platform thinking and production impact with a mandate to both ship high-value ML capabilities and build reusable Data Science platform primitives that scale across teams.
• In addition this role will drive the integration of Generative AI LLMs and agentic systems into core workflowsenabling reasoning-driven diagnostics automation and intelligent decision support across the supply chain.
• You will work closely with Data Science ML Engineering Data Engineering Platform and Product teams to deliver production-grade systems and establish a scalable repeatable approach to AI development at P44.

What Youll Do

• Drive High-Impact ML Systems Lead end-to-end development of models for ETA risk anomaly and fraudleveraging advanced techniques (embeddings transformers hybrid models).
• Build Data Science as a Platform Develop reusable ML infrastructure (features experimentation deployment monitoring) to scale model development and reduce time-to-production.
• Lead GenAI & Agentic Systems Build LLM-powered solutions (RAG diagnostics automation coding agents) and establish guardrails evaluation and explainability.
• Translate Business Problems into ML Solutions Convert customer workflows into well-defined ML problems and ensure measurable business impact.
• Drive Experimentation & Evaluation Establish strong offline/online evaluation frameworks tied to business outcomes.
• Collaborate Across Engineering Partner with MLE and DE to build scalable reliable systems across the ML lifecycle.

What Were Looking For

• Experience 5 years in Data Science / Applied ML with a strong track record of building and deploying production-grade ML systems.
• Core Modeling & Technical Expertise Deep expertise across tree-based models transformers probabilistic modeling and feature engineering with a strong data-centric mindset.
• Data & Platform Fluency Proficient in SQL and Python with hands-on experience in modern data platforms (Snowflake/Databricks) pipelines (Spark Airflow) streaming systems (Kafka) and MLOps tooling.
• GenAI & LLM Capability Experience building RAG systems working with embeddings and vector databases and developing LLM-based applications and agentic workflows. Strong understanding of evaluation guardrails and safe deployment of GenAI systems.
• Systems & Engineering Mindset Familiarity with distributed systems APIs and deployment patterns with the ability to write clean production-quality code.
• Analytical Rigor & Diagnostics Strong ability to evaluate model performance detect edge cases run root cause analysis and design robust monitoring and evaluation frameworks.
• Data Quality & Signal Awareness Experience handling messy real-world data including drift bias missingness and anomalies along with tools and techniques to detect and address these issues.
• Modeling Judgment & Trade-offs Ability to identify when to use ML versus heuristics and design pragmatic hybrid solutions. Strong understanding of architectural trade-offs across models and systems.
• Business Impact Orientation Clear understanding of how ML metrics translate to business outcomes with the ability to balance trade-offs across accuracy scalability latency and customer experience.
• Leadership & Communication Strong problem framing stakeholder influence and ability to communicate model behavior and decisions clearly to both technical and non-technical audiences. Proven track record of driving measurable business impact.

Preferred Skills

• Experience in logistics (Ocean Truckload) supply chain or high-volume operational systems
• Experience with geospatial data routing and tracking systems
• Experience with anomaly detection fraud modeling ETA prediction
• Experience building internal platforms or tools for DS teams

What Success Looks Like (612 Months)

• Deliver 2 high-impact ML capabilities with measurable customer value
• Establish standardized experimentation monitoring and RCA workflows
• Introduce GenAI/agentic capabilities that improve productivity and insight generation
• Reduce time-to-production and increase reuse across DS teams
• Drive measurable improvements in model performance and system reliability

In-office Commitment:This position requires a commitment to contribute to our collaborative culture by working in-office threedays weekly.

Diversity & Inclusion

At project44 were designing the future of how the world moves and is connected through trade and global supply chains. As we work to deliver a truly world-class product and experience we are also intentionally building teams that reflect the unique communities we serve. Were focused on creating a company where all team members can bring their authentic selves to work every day.

Were building a company that every one of us at project44 is proud to work for and our journey of becoming a more diverse equitable and inclusive organization where all have a sense of belonging is shaped through the actions of our leadership global teams and individual team members. We are resolute in our belief that each team member has an equal responsibility to mold and uphold our culture.

project44 is an equal opportunity employer seeking to enrich our work environment by creating opportunities for individuals of all backgrounds and experiences to thrive. If you share our values and our passion for helping the way the world moves wed love to review your application!

For any accommodation needed during the hiring process please email Even if you dont meet 100% of the above job description you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the roles requirements.

More about project44

Since 2014 project44 has been transforming the way one of the largest most important global industries does business. As transportation and logistics continue to evolve and customer expectations around delivery become more demanding industry technology must rise to the just a few short years we have created a digital infrastructure that eliminates the inefficiencies caused by dated technology and manual processes. Our Advanced Visibility Platform is used by the worlds leading brands to track shipments collaborate with supply chain partners drive operational efficiencies and create outstanding customer experiences.