We are seeking an experienced Machine Learning Engineer to design, implement, and maintain robust analytics pipeline solutions. These solutions will support the analysis, modeling, and prediction of upstream and downstream auction prices, directly benefiting the Business and Sales Planning Analytics (BSPA) Used Vehicle Analytics team and its customers. The ideal candidate will excel at developing ML/Software Engineering Solutions, performing DevSecOps, and collaborating with cross-functional teams (including ML Engineers, Data Scientists, and Data Engineers) to improve processes and drive business performance.

Responsibilities:

Develop, build and maintain infrastructure required for machine learning, including data pipelines, model deployment platforms, and model monitoring.

Develop and maintain tools and libraries to support the development and deployment of machine learning models.

Automate machine learning workflows using DevSecOps principles and practices.

Collaborate with development and operations teams to implement software solutions that improve system integration and automation of ML pipelines.

Design, develop, and manage data flows and APIs between upstream systems and applications.

Troubleshoot and resolve issues related to system communication, data flow, and data quality.

Create and maintain comprehensive technical documentation of software components.

Implement and enforce the highest standards of data quality and integrity across all data processes.

Manage deliverables through project management tools.

Collaborate with technical and non-technical teams to gather integration requirements and ensure successful deployment of data solutions.

Work with IT to ensure systems meet evolving business needs and comply with data governance policies and security requirements.

Minimum Qualifications:

Bachelor's degree in Computer Science, Information Systems, or a related field.

3+ years of experience in developing and deploying machine learning models in a production environment.

3+ years of experience in programming with Python

2+ years of hands-on experience utilizing Google Cloud Platform (GCP) services, including BigQuery and Google Cloud Storage to efficiently manage and process large datasets, as well as Cloud Composer and/or Cloud Run.

Experience with version control systems like GitHub for managing code repositories and collaboration.

2+ years of experience with code quality and security scanning tools, such as, SonarQube, Cycode and FOSSA.

3+ years of experience with data engineering tools and technologies, such as, Kubernetes, Container-as-a-Service (CaaS) platforms, OpenShift, DataProc, Spark (with PySpark) or Airflow.

Experience with CI/CD practices and tools, including Tekton or Terraform, as well as containerization technologies like Docker or Kubernetes.

Excellent problem-solving and analytical skills, with a focus on data-driven solutions.

Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud Platform.

Familiarity with Atlassian project management tools (e.g., Jira, Confluence) and agile practices.

Preferred Qualifications:

5+ years of experience in the automotive industry, particularly in auto remarketing and sales.

Master's degree in a relevant field (e.g., Computer Science, Data Science, Engineering).

Proven ability to thrive in dynamic environments, managing multiple priorities and delivering high-impact results even with limited information.

Exceptional problem-solving skills, a proactive and strategic mindset, and a passion for technical excellence and innovation in data engineering.

Demonstrated commitment to continuous learning and professional development.

Familiarity with machine learning libraries, such as TensorFlow, PyTorch, or Scikit-learn

Experience with MLOps tools and platforms.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• Immediate medical, dental, and prescription drug coverage

• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more

• Vehicle discount program for employees and family members, and management leases

• Tuition assistance

• Established and active employee resource groups

• Paid time off for individual and team community service

• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day

• Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here: Benefit Summary (https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2025-benefits-and-comp-gsr-sal-plan-2.pdf)

*Please note: This is a hybrid role based in Dearborn, MI, you are expected to commute on-site up to 3 times a week   *****

*Visa Sponsorship is NOT provided for this role   *****

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

#LI-Hybrid

#LI-DS2

Requisition ID  : 42744

We are seeking exceptional machine learning engineers to join a leading quantitative research and technology firm at the forefront of AI innovation. This role offers the opportunity to work on highly complex machine learning challenges, leveraging near-infinite compute power and world-class infrastructure. The RoleAs part of the core machine learning engineering team, you will collaborate with top researchers to develop and optimize large-scale machine learning models. You will work with both off-the-shelf tools and custom-built solutions to push the boundaries of AI and quantitative research. Key Responsibilities<ul><li>Implement ideas from cutting-edge research to enhance machine learning capabilities</li><li>Build and optimize models trained on petabytes of data, leveraging vast compute resources</li><li>Identify and resolve performance bottlenecks in machine learning architectures</li><li>Evaluate and integrate the latest hardware and software innovations in AI</li></ul> We are looking for candidates with strong problem-solving skills who thrive in both independent and team environments.Ideal candidates will have:<ul><li>A postgraduate degree in machine learning or a related field, or commercial experience developing machine learning models at scale. </li><li>Strong object-oriented programming skills, with experience in Python, PyTorch, and NumPy preferred.</li><li>Expertise in one or more of the following: advanced optimization methods, modern machine learning techniques, high-performance computing, profiling, or model inference.</li><li>A deep understanding of machine learning principles and the ability to develop custom models in collaboration with a highly skilled team.</li></ul> This is an opportunity to work at the forefront of AI research, solving complex challenges with access to near-infinite compute power. Finance experience is not required, and candidates from diverse technical backgrounds are encouraged to apply.

We are currently seeking a talented and innovative Machine Learning Developer to join our clients dynamic team. In this role, you will collaborate closely with our researchers to leverage your expertise in machine learning and software engineering. As a Machine Learning Developer, you will play a key role in the design, development, and maintenance of systems dedicated to high-performance, large-scale knowledge discovery in financial data.
Responsibilities:
Design, implement, test, and document modules for all stages of the pipeline, from data processing to predictions.
Assemble modules into end-to-end systems, ensuring seamless integration and functionality.
Collaborate with researchers to facilitate highly productive experimentation, model construction, and validation.
Contribute to the continuous improvement of our machine learning systems by staying abreast of advancements in software engineering and machine learning.
Qualifications:
Strong knowledge of software engineering principles.
Proficiency in machine learning and familiarity with open-source machine learning ecosystems.
Demonstrated track record of building and applying high-performance machine learning systems.
Effective communication skills and the ability to collaborate with cross-functional teams.
Flexibility to work in a fast-paced and dynamic environment.
Preferred Qualifications:
Impressive record of academic achievement (a plus, but not mandatory).
Welcoming outstanding candidates from diverse academic disciplines and backgrounds.
If you are passionate about pushing the boundaries of machine learning in the financial domain and thrive in a collaborative and challenging environment, we invite you to apply for this exciting opportunity.
Apply online or to oliver@

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