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Added 4 mins ago
Sr. Manager, Data Science & Analytics
Sunrun Inc.
Remote, United States
Currently, 20 to 30 analysts are embedded across various business units. You will serve as the single point of leadership to centralize this function, streamline the organization, and…
Added 4 mins ago
[US] HW Project Manager
EdgeCortix
Remote, United States
Team Coordination: Lead meetings with mechanical, electrical, and embedded software engineers, along with supply chain and manufacturing partners. Ensure change control, project development…
Added 5 mins ago
Software Development Engineer, SoC HAL
Annapurna Labs (U.S.) Inc.
Cupertino, CA
- Exposure to low-level, embedded, or hardware-adjacent programming
Added 11 mins ago
IC
NM Wafer Packaging Manufacturing: Advanced Packaging Module Engineer
Intel Corporation
NM
- $76,390 to $146,440 USD / year
…including process transfers and product start-ups for Foveros, Embedded Bridge, and Intel Foundry Services (IFS)…
Added 11 mins ago
IC
NM Wafer Packaging Manufacturing Advanced Packaging Engineer
Intel Corporation
NM
- $103,730 to $198,820 USD / year
…including process transfers and product start-ups for Foveros, Embedded Bridge, and Intel Foundry Services (IFS)…
Added 13 mins ago
Systems SW Analyst / Principal Systems SW Analyst - (UX Designer)
Northrop Grumman
Baltimore, MD
This role is embedded within the Engineering Metrics Repository (EMR) execution team, alongside UX strategists, UX designers, UX engineers, and data engineers. You will serve as a core UX…
Added 13 mins ago
Senior Embedded Compliance Analyst - (Remote)
CareFirst
Baltimore, MD
The Senior Embedded Compliance Analyst will support Corporate Compliance and its defined Compliance Program by performing compliance activities for Medicare Advantage. This position…
Added 16 mins ago
O
Principal Program Manager - OCI Product Marketing
Oracle
Santa Fe, NM
- $90,100 to $209,500 USD / year
Added 16 mins ago
Senior Strategic and Operational Intelligence Analyst
Humana
Santa Fe, NM
…help build and maintain them at scale, and ensure they are embedded in how the CTI team and its stakeholders make…
Added 36 mins ago
Senior Strategic and Operational Intelligence Analyst
Humana
Bismarck, ND
…help build and maintain them at scale, and ensure they are embedded in how the CTI team and its stakeholders make…
Added 42 mins ago
O
Principal Program Manager - OCI Product Marketing
Oracle
Tallahassee, FL
- $90,100 to $209,500 USD / year
Added 42 mins ago
RA
Consultant, Product Safety and Stewardship
Ramboll Americas Engineering Solutions, Inc.
Tampa, FL
- $68,730 to $94,504 USD / year
Added 1 hour ago
Principal Technical Program Manager - TeraWave Ground Infrastructure
Blue Origin Personnel, LLC
Cupertino, CA
Experience coordinating software delivery with hardware, silicon, embedded systems, or other tightly coupled engineering organizations.
Added 1 hour ago
RH
Director of Data Science & Analytics
Robert Half
Brookfield, WI
- $205,000 to $240,000 USD / year
…intelligence, data science, and applied engineering functions embedded within cross-functional operating groups. • Expand the use of machine learning, forecasting, optimization, and…
Added 1 hour ago
Software Development Engineer II, KMS
Amazon Development Center U.S., Inc.
Seattle, WA
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl…
Added 1 hour ago
Academic Coach
Educational Empowerment Group
Maple Heights, OH
Acts as a resource to support job-embedded professional learning and improved academic achievement in the school
Added 1 hour ago
O
Lead Principal Software Engineer, Core Infrastructure
Oracle
Nashville, TN
- $146,300 to $306,400 USD / year
…Cloud Infrastructure. You should be both a rock-solid lead developer, curious problem solver, a distributed systems generalist and/or skilled Linux engineer with Systems triage experience…
Added 1 hour ago
O
Principal Technical Program Manager
Oracle
Nashville, TN
- $91,000 to $209,500 USD / year
…bring technical depth to architecture discussions, translate developer and platform requirements into executable technical plans, and align senior engineering partners around secure,…
Added 1 hour ago
O
Director, Experiential & Executive Events
Oracle
United States
- $126,200 to $264,100 USD / year
Added 1 hour ago
O
Principal Network Developer
Oracle
Nashville, TN
- $102,300 to $209,500 USD / year
Added 1 hour ago
O
Lead Principal Platform Software Engineer
Oracle
Seattle, WA · Santa Clara, CA
- $113,600 to $306,400 USD / year
Added 1 hour ago
Mechatronics Engineer III
JPL/NASA
Pasadena, CA
Advanced knowledge and experience in electrical engineering and software development for embedded systems.
Added 1 hour ago
Fleet Support Rep-System Analyst/DBA III
V2X
Marlton, NJ
…/ OCONUS travel. This position may also require occasional embedded support to US Navy afloat units as a ship rider for periods of 2-4 weeks, which includes bonus…
Added 1 hour ago
Software Engineer, Sensors and System Software (C++, Linux)
Avride
Austin, TX
…challenges, and expand your expertise in real-time systems, embedded software, and sensor fusion. Thrive in a dynamic team of experts, fostering innovation and intellectual…
Added 1 hour ago
Principal Systems Engineer - FMS
Aerospace
United States
Avionics or embedded Systems development and requirement definition.

Cushman & Wakefield

Principal Machine Learning Engineer

Creve Coeur, MO, United States

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Job details

Posting language: English

Original job description

Summary

Job Title

Principal Machine Learning Engineer

Job Description Summary

We are seeking a Principal ML Engineer to build and maintain artificial intelligence and machine learning systems for our business. This role combines deep technical execution with broad influence: tackling the most complex machine learning problems, designing and implementing data architectures/models, MLOps and LLMOps, and monitoring and optimization as key software, while raising the bar for engineering excellence across the Data Organization.

Reporting to the Senior Director, Data Science & AI, the Principal ML Engineer is expected to move fluidly across project/product teams - embedding in projects for days or months at a time to unblock, accelerate, and uplift delivery. They will mentor other engineers at every level, push standards for technical excellence, and help establish the ML engineering, and architectural principles that guide our work. The primary platform is Databricks and the Azure cloud ecosystem, with the expectation of evaluating and adopting additional data technologies as the platform evolves.

Job Description

Role Summary

We are seeking a Principal ML Engineer to build and maintain artificial intelligence and machine learning systems for ourbusiness. This role combines deep technical execution with broad influence: tackling the most complex machine learning problems, designing and implementing data architectures/models, MLOps and LLMOps, and monitoring and optimization as key software, while raising the bar for engineering excellence across the Data Organization.

Key Responsibilities

AI/ML Model Development

+ Demonstrable experience shaping the end-to-end architecture, development, and deployment of AI, including machine learning, GenAI, and Agentic models that are tailored to business use cases.

+ Design and develop agentic AI systems - including multi-agent orchestration, tool-use, evaluation, and autonomous task-execution pipelines - to automate complex enterprise workflows.

+ Enforce model development standards encompassing data preprocessing, feature engineering, model selection, hyperparameter tuning, evaluation, and documentation.

+ Partner with data engineering teams to ensure robust, scalable, and high-quality data pipelines that support model training and inference.

AI Operations (MLOps / LLMOps)

+ Implement the organization's MLOps and LLMOps capabilities, including CI/CD pipelines for data wrangling, feature engineering, model training, evaluation, deployment, and monitoring.

+ Help define and enforce standards for model versioning, experiment tracking, reproducibility, and model registry management.

+ Implement robust model monitoring frameworks to detect performance degradation, data drift, concept drift, and bias in production systems, with automated alerting and retraining triggers.

AI Governance

+ Implement AI governance frameworks, including policies for model risk management, fairness, explainability, privacy, and security.

+ Champion sound AI principles across the global business, ensuring that human oversight and accountability are embedded in every stage of the AI development lifecycle.

Essential Skills, Knowledge & Experience

+ 10+ years building software or machine learning systems, including 6+ years shipping and operating machine learning in production - served, monitored, and maintained after launch.

+ Prior experience as the senior-most or near-senior-most engineer on a production ML or data platform, with responsibility for architectural decisions others had to live with.

+ A track record of setting technical standards that outlasted your own involvement, and of leading through influence without formal authority.

+ Strong hands-on Python and SQL , and the software engineering fundamentals that keep ML systems maintainable at scale - version control, automated testing, code review, modular design - plus the discipline to enforce them across teams.

+ Expert hands-on proficiency with Databricks (Spark, Lakeflow Declarative Pipelines, Delta Lake, Lakebase/Postgres, Unity Catalog, Model Serving) and the Azure data ecosystem. _Deep experience on a comparable lakehouse platform will be considered, with the expectation of becoming effective on Databricks quickly._

+ Experience with MLflow or an equivalent for experiment tracking, model registry, tracing, and reproducibility.

+ At least one year building agentic systems that reached production use, or equivalent demonstrated work. You should be able to walk us through a system you built: how it was orchestrated, how you evaluated it, what guardrails you put around it, how it failed, and what standard you set for whoever built the next one.

+ Proven ability to mentor engineers at every level and materially raise the technical standard of the teams you work with.

+ Familiarity with modern machine learning frameworks and a strong instinct for reusable, scalable engineering patterns.

Preferred Skills, Knowledge & Experience

+ Experience establishing an ML or AI platform capability in an organisation that did not previously have one.

+ Experience embedding across multiple teams, geographies and time zones as a principal-level technical contributor.

+ Familiarity with CI/CD and infrastructure-as-code tooling for data pipelines using Azure DevOps, Databricks Declarative Automation Bundles (DABs), GitHub Actions, Terraform, or equivalent.

+ Good understanding of data governance, metadata management, and cataloguing in enterprise environments.

+ Exposure to model serving and inference at scale - containers, REST endpoints, latency and throughput targets - or to feature stores, retrieval pipelines, or LLM cost-attribution tooling.

+ Model Context Protocol (MCP) or comparable tool-integration standards.

+ Commercial real estate, professional services, or another domain where the data is messy, entities are inconsistently defined, and subject matter experts are the source of truth.

\#LI-Remote

Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a co...

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More about this job

Skills

Machine learning
ML
Databricks
Microsoft Azure
Documentation
Data engineering
CI/CD
Python
SQL
Test automation
Apache Spark
Unity
Mlflow
Direct inward dialing
Infrastructure as code
DevOps
GitHub
IBM Terraform

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