Machine Learning Engineer – Medical Imaging – Los Angeles, CA

We are looking for a talented and innovative Machine Learning Engineer to join our growing team in Los Angeles, CA, to work on groundbreaking advancements in medical imaging. This is an exciting opportunity to apply your machine learning expertise to improve healthcare through advanced imaging technologies. If you have a passion for leveraging artificial intelligence to create impactful solutions in the medical field, this is the role for you.

Drive Innovation in Medical Imaging with Cutting-Edge Machine Learning Techniques

As a Machine Learning Engineer, you will play a critical role in developing AI-driven solutions that push the boundaries of medical imaging. The ideal candidate will bring experience in machine learning, computer vision, and medical imaging applications, collaborating with a team of experts to transform the future of healthcare. If you’re looking to contribute to a rapidly growing field and make a tangible impact, this is your chance to be part of a transformative journey.

Key Responsibilities of the Machine Learning Engineer – Medical Imaging

Develop AI Models for Medical Imaging: Design, develop, and implement machine learning algorithms to improve the accuracy and efficiency of medical imaging systems. Leverage state-of-the-art techniques in computer vision and deep learning to process and analyze medical images.

Collaborate with Cross-Functional Teams: Work closely with healthcare professionals, data scientists, and engineers to understand clinical needs and ensure that AI solutions align with real-world medical applications. Collaborate in developing systems that meet both technical and healthcare standards.

Enhance Diagnostic Tools: Build predictive models and diagnostic tools that assist in identifying diseases or abnormalities in medical imaging, improving healthcare outcomes. Focus on increasing the reliability and performance of these tools for clinical environments.

Continuous Model Improvement: Continuously assess and refine AI models, using new datasets and clinical feedback to optimize the performance of medical imaging systems. Implement ongoing testing, validation, and model training to ensure accurate predictions.

Data Management & Analysis: Oversee data collection and processing pipelines for medical imaging datasets. Ensure that all data used for machine learning models adheres to high-quality standards, and implement systems to efficiently manage large-scale medical data.

Innovation in Medical AI Solutions: Stay updated with the latest research and trends in machine learning, artificial intelligence, and medical imaging. Apply cutting-edge technologies to improve diagnostic accuracy, workflow efficiency, and patient care.

Regulatory Compliance & Ethical Standards: Ensure that all machine learning models and medical imaging solutions comply with regulatory standards, including HIPAA and other healthcare regulations. Promote ethical AI practices in medical applications to ensure patient safety and privacy.

Collaboration with Research & Development: Contribute to R&D efforts in the medical imaging domain, working with researchers to explore new methodologies, tools, and techniques that enhance medical imaging capabilities.

Performance Monitoring & Reporting: Monitor the performance of AI models in production environments, track key performance indicators (KPIs), and provide detailed reporting on outcomes to stakeholders. Implement improvements based on performance analysis and clinical feedback.

Mentorship & Knowledge Sharing: Provide mentorship to junior engineers and share expertise in machine learning and medical imaging with the team. Foster a culture of continuous learning and knowledge sharing within the department.

What the Client is Looking for in You

As a Machine Learning Engineer – Medical Imaging, the client is seeking an innovative and highly skilled professional with expertise in machine learning and its application to medical imaging. You should be passionate about transforming healthcare through cutting-edge technologies and have the technical proficiency to create impactful AI-driven solutions. The ideal candidate will thrive in collaborative environments, be committed to continuous learning, and demonstrate a proactive approach to solving complex problems in medical imaging.

Expertise in Machine Learning and AI

The client is looking for an experienced Machine Learning Engineer with a strong foundation in machine learning algorithms, deep learning, and computer vision. You should have practical experience in applying AI techniques to real-world problems, particularly in medical imaging. Expertise in developing, training, and optimizing machine learning models that process and analyze medical data is essential.

Proven Track Record in Medical Imaging

Experience in medical imaging, including image processing, segmentation, and feature extraction, is highly desired. The client seeks an engineer who is familiar with medical image datasets, such as MRI, CT, and X-rays, and understands the intricacies of working with sensitive healthcare data. Familiarity with regulatory requirements (HIPAA, FDA) and the challenges of working in the medical field is beneficial.

Ability to Collaborate with Cross-Disciplinary Teams

Collaboration is key, and the client is looking for a candidate who can work effectively with healthcare professionals, engineers, and researchers. You should be able to translate complex technical concepts into actionable solutions for clinical environments, ensuring that AI-driven models meet the needs of medical practitioners and patients alike.

Strong Problem-Solving Skills

The ideal candidate will demonstrate excellent problem-solving abilities, capable of tackling complex challenges related to the accuracy and scalability of AI models. You should have a keen eye for detail and a methodical approach to troubleshooting and optimizing machine learning algorithms in the context of medical imaging.

Knowledge of Data Management and Ethics

The client values professionals who understand the importance of managing large datasets in a secure and ethical manner. You should be adept at ensuring that data handling complies with healthcare regulations and promotes patient confidentiality. Additionally, experience in creating efficient data pipelines for medical imaging datasets is highly preferred.

Continuous Learning and Innovation Mindset

The client seeks an engineer who stays abreast of the latest advancements in machine learning, medical imaging, and AI technologies. You should be eager to explore and implement innovative solutions, always looking for ways to improve diagnostic accuracy and patient care. A mindset of continuous learning and the ability to adapt to evolving technologies is essential.

Focus on Delivering Impactful Solutions

The client is looking for an engineer who is not only technically proficient but also motivated by the potential to improve healthcare outcomes. Your ability to deliver machine learning solutions that have a tangible, positive impact on patient care and medical practices will be highly valued.

Strong Communication Skills

Excellent communication skills are key in this role. You should be able to present technical findings and solutions to non-technical stakeholders, including medical professionals and senior leadership. The ability to explain complex concepts clearly and effectively will be crucial in driving collaboration and ensuring the success of AI-driven projects.

FAQs About the Role – Machine Learning Engineer – Medical Imaging

What are the key responsibilities of a Machine Learning Engineer in this role?

As a Machine Learning Engineer – Medical Imaging, you will be responsible for developing AI-driven solutions for medical imaging applications, including building and optimizing machine learning models for image analysis. You will collaborate with cross-functional teams to understand clinical needs, enhance diagnostic tools, and ensure the accuracy and reliability of AI models. Additionally, you will oversee data management, model training, and continuous improvements to ensure the solutions are effective in real-world medical settings.

What qualifications and experience are required for this position?

The ideal candidate should have a strong background in machine learning, deep learning, and computer vision, with proven experience applying these technologies in medical imaging or related fields. A degree in computer science, engineering, or a similar technical field is required, with a preference for candidates holding advanced degrees (MSc or Ph.D.). Familiarity with medical imaging datasets, AI model development, and healthcare regulations (e.g., HIPAA) is highly desirable.

What technical skills are essential for this role?

The client is looking for proficiency in machine learning frameworks such as TensorFlow, Keras, or PyTorch, and a strong understanding of deep learning techniques for image segmentation, classification, and feature extraction. Experience with medical image formats (e.g., DICOM), computer vision, and data preprocessing for large-scale medical datasets is also essential. Familiarity with cloud platforms and tools for AI model deployment is a plus.

What challenges can I expect in this role?

Working in medical imaging comes with challenges such as ensuring the accuracy and reliability of AI models in real-world clinical settings. You will need to tackle issues related to dataset quality, data privacy, and regulatory compliance. Additionally, balancing model performance with computational efficiency and scalability can be challenging when handling large and complex medical datasets.

What is the expected impact of the Machine Learning Engineer on the company’s goals?

As a Machine Learning Engineer in medical imaging, your work will directly impact healthcare outcomes by improving diagnostic tools and making medical imaging more efficient. Your ability to develop accurate, scalable, and reliable AI models will be crucial in enhancing patient care, increasing diagnostic speed, and supporting medical professionals in their decision-making processes.

What is the company’s culture and work environment like?

The company fosters a collaborative, innovative, and mission-driven work environment. You will have the opportunity to work alongside experts in both AI and healthcare, contributing to projects that have a meaningful impact on patients’ lives. The work culture emphasizes continuous learning, creative problem-solving, and cross-disciplinary collaboration, ensuring that every team member has the resources and support to succeed in their roles.

What Remuneration Can You Expect from This Job?

As a Machine Learning Engineer – Medical Imaging in Los Angeles, CA, you can expect a competitive compensation package designed to attract top-tier talent in the rapidly evolving healthcare and AI sectors. The remuneration for this role typically includes:

Base Salary

The base salary for a Machine Learning Engineer in the medical imaging field typically ranges from $100,000 to $150,000 annually, depending on your level of experience, expertise in machine learning and medical imaging, and the company’s size. Highly experienced candidates with advanced degrees or significant industry experience may see base salaries above this range.

Performance-Based Bonuses

In addition to the base salary, many companies offer performance-based bonuses to incentivize high performance. These bonuses are often linked to project milestones, successful implementation of AI solutions, and contributions to improving medical imaging capabilities. Bonus structures typically range from 10% to 20% of the base salary, depending on the individual’s performance and company success.

Equity & Stock Options

As part of a broader compensation package, some companies offer equity-based incentives such as stock options or restricted stock units (RSUs). These incentives allow you to benefit from the company’s long-term success and align your interests with the company’s growth. The value of stock options can vary based on the company’s stage, size, and success, providing substantial long-term financial rewards.

Benefits & Perks

As a Machine Learning Engineer, you can expect a comprehensive benefits package, including:

Health, dental, and vision insurance
401(k) or retirement plans with company contributions
Generous paid time off (PTO)
Life insurance and disability coverage
Professional development programs and conference reimbursements
Access to cutting-edge AI research and tools

Signing Bonuses & Relocation Assistance

For candidates relocating to Los Angeles or coming from highly competitive talent pools, companies may offer signing bonuses or relocation assistance packages. These one-time incentives are designed to ease the transition and can range from $10,000 to $30,000 or more, depending on the company and the candidate’s experience.

Total Compensation Potential

When combining base salary, performance-based bonuses, stock options, and benefits, total compensation for a Machine Learning Engineer – Medical Imaging can range from $120,000 to $200,000 annually in most companies, with the potential for higher earnings in top-tier firms or those at the forefront of medical AI technology.

How to Apply

If you are an innovative and skilled Machine Learning Engineer with a passion for medical imaging and AI-driven healthcare solutions, we invite you to apply for the Machine Learning Engineer – Medical Imaging position in Los Angeles, CA. This is a unique opportunity to contribute to groundbreaking advancements in the healthcare industry by applying your expertise in AI to improve diagnostic tools and patient care.

To apply, please submit your updated resume along with a cover letter that highlights your experience in machine learning, deep learning, and medical imaging. Be sure to emphasize your technical expertise, particularly in developing and optimizing AI models for medical image analysis, as well as your ability to work collaboratively with cross-functional teams in a healthcare setting.

This role offers the opportunity to work on cutting-edge technologies that have the potential to transform healthcare practices. Join a team of innovators dedicated to improving patient outcomes through AI-powered solutions. Apply today to take the next step in your career as a Machine Learning Engineer – Medical Imaging in Los Angeles, CA!

For more information about this role or to explore other similar opportunities, visit our AI & Healthcare Engineering Careers Page.

Tags:

Job Category: Medical Imaging

Job Type: Full Time

Job Location: Los Angeles

Machine Learning Engineer – Medical Imaging – Los Angeles, CA