
Machine Learning Engineer
As a Machine Learning Engineer at Ford Motor, you will play a crucial role in developing cutting-edge technologies that will shape the future of the automotive industry. We are looking for a highly motivated and skilled individual who is passionate about using machine learning to solve complex problems and drive innovation. If you have a strong background in data analysis, programming, and a drive to continuously learn and improve, we encourage you to apply for this exciting opportunity.
- Develop and implement machine learning algorithms and models to improve the performance and functionality of Ford Motor's automotive products and services.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to identify and prioritize key business problems that can be solved using machine learning techniques.
- Analyze large and complex datasets to extract valuable insights and trends, and use them to inform the development of machine learning solutions.
- Continuously research and stay updated on the latest advancements in machine learning and related fields, and apply that knowledge to enhance the company's machine learning capabilities.
- Design and conduct experiments to evaluate the effectiveness and accuracy of machine learning models, and use the results to improve and optimize their performance.
- Develop and maintain efficient and scalable data pipelines and infrastructure for data processing, model training, and deployment.
- Work closely with the engineering team to integrate machine learning models into production systems and ensure their smooth operation.
- Collaborate with cross-functional teams to develop and implement best practices for data collection, storage, and governance to ensure data quality and integrity.
- Communicate complex technical concepts and findings to non-technical stakeholders, including senior management, to drive decision-making and support business objectives.
- Stay abreast of industry trends and developments in machine learning and artificial intelligence, and proactively identify potential use cases and opportunities for innovation within Ford Motor.
Bachelor's Or Master's Degree In Computer Science, Mathematics, Or A Related Field.
Strong Understanding Of Machine Learning Algorithms And Techniques, Such As Deep Learning, Natural Language Processing, And Supervised/Unsupervised Learning.
Proficiency In Programming Languages Commonly Used In Machine Learning, Such As Python, R, And Java.
Experience With Big Data Tools And Platforms, Such As Hadoop, Spark, And Tensorflow.
Familiarity With Automotive Industry And Knowledge Of Vehicle Data And Systems Would Be A Plus.
Programming
Data Analysis
Deep Learning
Data Visualization
Natural language processing
Algorithm development
Statistical modeling
Predictive modeling
Neural Networks
image recognition
Machine Learning techniques
Communication
Conflict Resolution
Leadership
Time management
creativity
Organization
Teamwork
Adaptability
Problem-Solving
Empathy
According to JobzMall, the average salary range for a Machine Learning Engineer in Palo Alto, CA, USA is $150,000 - $200,000 per year. This range may vary depending on the specific company, experience level, and additional benefits offered.
Apply with Video Cover Letter Add a warm greeting to your application and stand out!
Ford is a leading top 10 automobile companies in the world and was established in 1903 by Henry Ford at Dearborn, Michigan, United States. Ford makes many popular car models such as Fiesta, Endeavour, Eco sport, Expedition, Escape, Mustang, Taurus, Focus, and Fusion. This top automobile company in 2018 has an annual production capacity of around 6.7 million cars and employs more than 200,000 personnel. Ford had an estimated annual revenue of almost $150 billion with a net income of around $8 billion in 2017 and owns more than 90 automobile manufacturing plants across the world.

Get interviewed today!
JobzMall is the world‘ s largest video talent marketplace.It‘s ultrafast, fun, and human.
Get Started