Sr Deep Learning Engineer

Job Description SummaryAs a Deep Learning Engineer, you will play a crucial role in bridging the gap between AI science and production, helping to train AI models in the vision, text, and multi-modal domains. You will be responsible for the end-to-end development of AI models, from large-scale data processing to distributed model training.
GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.

Job Description

Responsibilities

• Working with large-scale datasets, design and develop novel machine learning algorithms particularly in LLM to provide automation of clinical tasks using one or more of medical images, electronic medical records, waveforms, and clinical reports. 
• Troubleshoot and resolve challenges relating to large-scale model training involving multi-GPU and/or distributed training regimes.
• Demonstrating algorithms to meet accuracy requirements on general subject population through statistical analyses and error estimation. 
• Building prototypes to enable development of high-performance AI algorithms in scalable, product-ready code. 
• Staying current on published state-of-the-art algorithms and competing technologies. 

Basic Qualifications

• Graduate degree in computer science or related areas with 6 years of industry experience. 
• Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization), with related software development experiences. 
• Experience working with large scale AI training, prompt tuning, distillation, robustness, quantization. 
• Experience with multi-GPU and distributed model training. Experience with one or more general purpose programming languages (e.g., Python, Java, C/C++, etc.)
• In depth experience with Spark/Hadoop and PyTorch/Tensorflow. 

Preferred Qualifications

• Experience with handling noisy real world medical and patient data. 
• Cloud experience (AWS, GCP, Azure)

Eligibility Requirements

Legal authorization to work in the U.S. is required. GE may agree to sponsor an individual for an employment visa now or in the future if there is a shortage of individuals with particular skills. Must be willing to travel to attend meetings, workshops, conferences & etc. Must be willing to work out of an office located in the greater Seattle Area.

About Team

GE Healthcare teams are based in the US (San Ramon, Bellevue), France, Israel (Tel Aviv), and India (Bangalore). This gives us several core overlap hours for shared meetings.

Work/Life Balance

Our team also puts a significant value on work-life balance. Having a healthy balance between your personal and professional life is crucial to your happiness and success here. We don’t focus on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.

Mentorship & Career Growth

We maintain diverse engineering, and leadership perspectives and backgrounds across technology and beyond. Our employees are excited to share their experiences and mentor more junior engineers. Team members are highly encouraged to set up mentorship relationships with seasoned engineers, not only in our team, but also across the broader GE Healthcare population.

Inclusive Team Culture

Here at GEHC, we embrace our differences. We are committed to furthering our culture of inclusion. We have many employee-led affinity groups, innovative benefit offerings, and encourage ongoing learning experiences. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.

About Us

At GE HealthCare (NASDAQ: GEHC), we see possibilities through innovation. We’re partnering with our customers to fulfill healthcare’s greatest potential through groundbreaking medical technology, intelligent devices, and care solutions. Better tools enabling better patient care. Together, we are not only building a healthier future but living our purpose to create a world where healthcare has no limits.

GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Relocation Assistance available.

For U.S. based positions only, the pay range for this position is $160,000.00-$240,000.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.