Job summary
Job post source
This job is from a recruiting firm hiring for a separate company, REQ Solutions, as indicated by the description mentioning REQ Solutions and the role supporting their R&D team.
Job overview
The Machine Learning Engineer (New Grad & Entry Level) role involves developing machine learning algorithms and models to support Interventional Cardiology Therapies R&D, impacting medical device innovation and patient care.
Responsibilities and impact
The candidate will develop ML models for medical imaging, organize and augment datasets, train and validate models, collaborate with ML scientists and engineers, and maintain a focus on patient safety and product quality.
Experience and skills
Required qualifications include a Bachelor's degree in engineering or science, 0-2 years of experience, and skills in image processing ML model development with PyTorch, TensorFlow, Pandas, Scikit-learn, and SciPy; preferred skills include medical image ML, computer vision, GitHub, Python repositories, Docker, and strong communication.
Work environment and culture
The role emphasizes creating a strong team culture focused on high expectations, high performance, patient safety, and product quality.
Company information
REQ Solutions specializes in strategic offshore partnerships and supports Interventional Cardiology Therapies R&D, focusing on life-changing medical devices.
Team overview
The candidate will join the ICTx R&D team, collaborating with ML scientists, algorithm engineers, and data engineers to achieve project goals.
Unique job features
The position offers the opportunity to work on innovative medical device ML models, specifically for the AVVIGO+ guidance system, contributing directly to patient care improvements.
Company overview
Jobright.ai is a technology company focused on leveraging artificial intelligence to streamline and enhance the job search and recruitment process for both candidates and employers. The company generates revenue primarily through subscription-based services and partnerships with organizations seeking to optimize hiring, offering tools such as AI-powered resume analysis, job matching, and interview preparation. Founded to address inefficiencies in traditional recruitment, Jobright.ai has positioned itself as an innovator in the HR tech space, emphasizing automation and data-driven insights. Notable milestones include the launch of its proprietary AI algorithms and collaborations with major job boards and corporate clients. Candidates should be aware of Jobright.ai’s commitment to ethical AI practices and its rapidly evolving product suite.
How to land this job
Tailor your resume to highlight your experience with image processing and machine learning model development, emphasizing skills in PyTorch, TensorFlow, Pandas, Scikit-learn, and SciPy as these are specifically sought for this role.
Showcase any projects or coursework related to medical imaging, computer vision, or developing algorithms for healthcare applications to align with the job’s focus on interventional cardiology therapies and patient safety.
Apply through multiple platforms including Jobright.ai’s corporate career page, LinkedIn, and other job boards where this position is posted to maximize your exposure.
Connect on LinkedIn with current ML engineers or team members in the Interventional Cardiology Therapies R&D division at Jobright.ai; start conversations by commenting on recent advancements in medical device AI or asking about their experiences working on the AVVIGO+ guidance system.
Optimize your resume for ATS by incorporating keywords from the job description such as 'machine learning algorithms,' 'medical imaging,' 'classification and segmentation,' 'PyTorch,' and 'patient safety' to ensure your application passes automated screenings.
Use Jennie Johnson's Power Apply feature to automatically tailor your resume, identify the best application channels, and find relevant LinkedIn connections, saving you time and improving your chances of landing the role.
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