Sr. Machine Learning Engineer - Ford Motor Company
Santa Fe, NM
About the Job
At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have an exciting opportunity for you to join our expanding area of Prognostics.
Are you enthusiastic to mine raw data and realize its hidden value by building amazing, connected data solutions that benefit our customers? Would you love to accelerate our efforts in implementing advanced physics and ML Models in production?
The Sr. Machine Learning Engineer role resides within the Ford’s Electric Vehicle organization. In this role, you will work on building scalable and robust ML data pipelines in the _cloud_ to process large volumes of connected vehicle data to support the Ford vehicle prognostic initiatives.
What you will do...
+ Develop and optimize ML algorithms working with data scientists and data engineers to deploy to production.
+ Use machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.
+ Train and re-train ML models and systems as required.
+ Deploy ML models and algorithms into production and run simulations for algorithm development and test various scenarios.
+ Automate model deployment, training, and re-training, leveraging principles of agile methodology, CI/CD/CT (Continuous Integration/ Continuous Deployment/ Continuous Training) and MLOps.
+ Work closely with _cloud_ architect, product manager, product owner and developers to build and enhance MLOPs platform in _GCP_ .
+ Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery.
+ Fulfill problem formulation and ML technique consulting requests in a timely manner.
+ Enable model management for model versioning and traceability.
+ Continuously optimize and enhance existing ML data solutions (pipelines, products, infrastructure) for best performance, high security, low vulnerability, low costs, and high reliability.
+ Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions.
+ Continuously enhance your domain knowledge of connected vehicle data, connected services and algorithms/models developed by data scientists within Ford.
+ Stay current on the latest ML engineering practices and contribute to the technical direction of the company while keeping a customer-centric approach.
+ Help innovate and standardize machine learning development practices.
You will have…
+ Master’s degree or foreign equivalent degree in Computer Science, Software Engineering, Information System, _Data Engineering_ , or a related field.
+ 5 years of professional experience in:
+ _Data engineering_ , data product development and software product launches
+ At least three of the following languages: _Java_ , _Python_ , Spark, _Scala_ , _SQL_
+ Developing Machine Learning algorithms working with Data Scientists, optimizing them, and deploying them to production.
+ _Cloud_ data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines.
Even better if you have…
+ Ph.D. or foreign equivalent degree in Computer Science, Software Engineering, Information System, _Data Engineering_ , or a related field.
+ 3 years of experience mentoring engineers and leading large projects.
+ Demonstrated contributions and expertise in two or more of the following domains:
+ Regression algo for interpolation and extrapolation (both linear / non-linear)
+ Time series analysis and statistics, autoregressive models, filtering algorithms
+ Gaussian processes and/or kernel methods, Bayesian statistics
+ Modeling with different neural network architectures: MLP, CNN, RNN
+ Quantitative model performance assessment using cross-validation, blind testing
+ Physics-informed neural networks (ML for computational fluid dynamics or finite element analysis, point _cloud_ or mesh-based neural networks, PDE surrogate modelling)
+ Uncertainty quantification and propagation for time series analysis and forecasting.
+ Demonstrated ability to document complex systems.
+ Demonstrated commitment to quality and project timing.
+ Committed code to improve open-source data/software engineering projects.
+ Passion to experiment/implement state of the art ML engineering methods/techniques.
+ Experience working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment.
+ Experience implementing methods for automation of all parts of the pipeline to minimize labor in development and production.
+ Ability to simplify, clearly communicate complex data/software ideas/problems and work with cross-functional teams and all levels of management independently.
+ Strong drive for results and ability to multi-task and work independently.
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, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, 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:
https://fordcareers.co/GSR-HTHD
This position is a range of salary grades 6-8 .
Visa sponsorship is available for this position.
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-Remote
#LI-CS2
Requisition ID : 37436
Are you enthusiastic to mine raw data and realize its hidden value by building amazing, connected data solutions that benefit our customers? Would you love to accelerate our efforts in implementing advanced physics and ML Models in production?
The Sr. Machine Learning Engineer role resides within the Ford’s Electric Vehicle organization. In this role, you will work on building scalable and robust ML data pipelines in the _cloud_ to process large volumes of connected vehicle data to support the Ford vehicle prognostic initiatives.
What you will do...
+ Develop and optimize ML algorithms working with data scientists and data engineers to deploy to production.
+ Use machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.
+ Train and re-train ML models and systems as required.
+ Deploy ML models and algorithms into production and run simulations for algorithm development and test various scenarios.
+ Automate model deployment, training, and re-training, leveraging principles of agile methodology, CI/CD/CT (Continuous Integration/ Continuous Deployment/ Continuous Training) and MLOps.
+ Work closely with _cloud_ architect, product manager, product owner and developers to build and enhance MLOPs platform in _GCP_ .
+ Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery.
+ Fulfill problem formulation and ML technique consulting requests in a timely manner.
+ Enable model management for model versioning and traceability.
+ Continuously optimize and enhance existing ML data solutions (pipelines, products, infrastructure) for best performance, high security, low vulnerability, low costs, and high reliability.
+ Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions.
+ Continuously enhance your domain knowledge of connected vehicle data, connected services and algorithms/models developed by data scientists within Ford.
+ Stay current on the latest ML engineering practices and contribute to the technical direction of the company while keeping a customer-centric approach.
+ Help innovate and standardize machine learning development practices.
You will have…
+ Master’s degree or foreign equivalent degree in Computer Science, Software Engineering, Information System, _Data Engineering_ , or a related field.
+ 5 years of professional experience in:
+ _Data engineering_ , data product development and software product launches
+ At least three of the following languages: _Java_ , _Python_ , Spark, _Scala_ , _SQL_
+ Developing Machine Learning algorithms working with Data Scientists, optimizing them, and deploying them to production.
+ _Cloud_ data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines.
Even better if you have…
+ Ph.D. or foreign equivalent degree in Computer Science, Software Engineering, Information System, _Data Engineering_ , or a related field.
+ 3 years of experience mentoring engineers and leading large projects.
+ Demonstrated contributions and expertise in two or more of the following domains:
+ Regression algo for interpolation and extrapolation (both linear / non-linear)
+ Time series analysis and statistics, autoregressive models, filtering algorithms
+ Gaussian processes and/or kernel methods, Bayesian statistics
+ Modeling with different neural network architectures: MLP, CNN, RNN
+ Quantitative model performance assessment using cross-validation, blind testing
+ Physics-informed neural networks (ML for computational fluid dynamics or finite element analysis, point _cloud_ or mesh-based neural networks, PDE surrogate modelling)
+ Uncertainty quantification and propagation for time series analysis and forecasting.
+ Demonstrated ability to document complex systems.
+ Demonstrated commitment to quality and project timing.
+ Committed code to improve open-source data/software engineering projects.
+ Passion to experiment/implement state of the art ML engineering methods/techniques.
+ Experience working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment.
+ Experience implementing methods for automation of all parts of the pipeline to minimize labor in development and production.
+ Ability to simplify, clearly communicate complex data/software ideas/problems and work with cross-functional teams and all levels of management independently.
+ Strong drive for results and ability to multi-task and work independently.
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, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, 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:
https://fordcareers.co/GSR-HTHD
This position is a range of salary grades 6-8 .
Visa sponsorship is available for this position.
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-Remote
#LI-CS2
Requisition ID : 37436
Source : Ford Motor Company
