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- Tasks: Develop and implement cutting-edge machine learning models to enhance product capabilities.
- Company: Join a leading hardware manufacturing company in Southern Orange County, innovating with AI and Machine Learning.
- Benefits: Enjoy medical, dental, vision benefits, 3 weeks PTO, 401k match, and annual bonuses.
- Why this job: Be part of an innovative team driving industry advancements while collaborating with talented professionals.
- Qualifications: Bachelor's or Master's in Computer Science or related field; experience in machine learning and Python required.
- Other info: Hybrid work environment with 3 days onsite in Laguna Hills; must be authorized to work in the US.
The predicted salary is between 28800 - 48000 £ per year.
Job Description
Machine Learning Engineer
Company Overview
We are located in the beautiful Southern Orange County area and we are a hardware manufacturing company that uses modern AI and Machine Learning technology. We are innovating our industry and have already become one of the most advanced and reputable companies in our industry.Â
Position Overview
We are looking for a skilled Machine Learning Engineer to join our innovative team. The ideal candidate will develop and implement machine learning models and algorithms that enhance product capabilities and improve operational efficiency, while collaborating closely with cross-functional teams.
Key Responsibilities
- Design, develop, and deploy machine learning models and algorithms for various applications.
- Collaborate with data scientists and software engineers to integrate machine learning solutions into applications.
- Conduct experiments to optimize model performance and validate results through robust testing methodologies.
- Analyze large datasets to identify patterns, trends, and potential areas for improvement.
- Stay updated with the latest advancements in machine learning and AI technologies to drive innovation.
- Document processes and share knowledge with team members to foster a collaborative learning environment.
Qualifications
- Bachelor's or Master's degree in Computer Science, Physics, Engineering, or a related field.
- Proven experience in machine learning and Python programming.
- Strong understanding of machine learning algorithms and techniques.
- Familiarity with tools like PyTorch, Docker, and GitHub for version control and collaboration.
- Knowledge of AI concepts and frameworks is a plus.
- Experience with Embedded AI, Computer Vision, and State Space Models is advantageous.
- Background in Physics or Manufacturing is a plus.
Benefits
- Medical, Dental, & Vision Benefits
- 3 weeks PTO
- 401k with match
- Annual Bonuses (10% of Salary end of year)
- RSU's
- Hybrid work environment – 3 days onsite in Laguna Hills
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– For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. CyberCoders will consider for Employment in the City of Los Angeles qualified Applicants with Criminal Histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance.This job was first posted by CyberCoders on 05/22/2025 and applications will be accepted on an ongoing basis until the position is filled or closed.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Â CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please contact a member of our Human Resources team to make arrangements.
Machine Learning Engineer (Hiring Immediately) employer: Rac
Contact Detail:
Rac Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (Hiring Immediately)
✨Tip Number 1
Familiarise yourself with the specific machine learning tools mentioned in the job description, such as PyTorch and Docker. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your readiness to hit the ground running.
✨Tip Number 2
Engage with the latest advancements in AI and machine learning by following relevant blogs, attending webinars, or joining online communities. This will help you stay updated and show your passion for the field during interviews.
✨Tip Number 3
Prepare to discuss your previous projects involving machine learning models. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will highlight your problem-solving skills.
✨Tip Number 4
Network with professionals in the industry, especially those who work in hardware manufacturing or related fields. Attend local meetups or online events to make connections that could lead to referrals or insider information about the company.
We think you need these skills to ace Machine Learning Engineer (Hiring Immediately)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and Python programming. Include specific projects or roles where you've developed and deployed machine learning models, as this will resonate with the company's needs.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and machine learning. Mention how your skills align with the job responsibilities, such as collaborating with cross-functional teams and optimising model performance.
Showcase Relevant Skills: In your application, emphasise your familiarity with tools like PyTorch, Docker, and GitHub. If you have experience with Embedded AI or Computer Vision, make sure to highlight these as they are advantageous for the role.
Demonstrate Continuous Learning: Mention any recent courses, certifications, or projects that show you stay updated with the latest advancements in machine learning and AI technologies. This demonstrates your commitment to innovation and growth in the field.
How to prepare for a job interview at Rac
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning algorithms and Python programming. Bring examples of projects you've worked on, especially those involving tools like PyTorch or Docker, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Innovations
Research the company’s recent advancements in AI and machine learning. Being able to discuss how their innovations impact the industry will show your genuine interest and help you stand out as a candidate who is aligned with their goals.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice explaining your thought process when designing and optimising machine learning models, as this will highlight your analytical skills and approach to challenges.
✨Emphasise Collaboration Experience
Since the role involves working closely with cross-functional teams, be ready to share examples of how you've successfully collaborated with data scientists or software engineers in the past. This will illustrate your ability to work well in a team-oriented environment.