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Alphabet Health Jobs (NOW HIRING)

Verily Health

Staff Network Engineer

Dallas, TX · On-site

Verily Health is a subsidiary of Alphabet focused on improving healthcare through a data-driven approach. The Staff Network Engineer will design, implement, and operate a secure, scalable global ...

Google

Software Engineer III

Pittsburgh, PA · On-site

$55.75 - $75/hr

... system health, diagnosis and resolution, and software test engineering. Company : Google ... of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of ...

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$33K

$57.5K

$69.5K

How much do alphabet health jobs pay per year?

As of Jun 7, 2026, the average yearly pay for alphabet health in the United States is $57,467.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What are the main collaborative responsibilities for professionals working at Alphabet Health?

At Alphabet Health, professionals frequently collaborate across multidisciplinary teams that may include clinicians, data scientists, engineers, and product managers. This collaborative structure ensures that healthcare solutions are developed with both technical innovation and patient care in mind. Team members often participate in regular meetings to align on project goals, share insights from their respective fields, and troubleshoot challenges collectively. Open communication and adaptability are key to navigating the fast-paced, evolving environment typical of health technology companies.

What is Alphabet Health?

Alphabet Health refers to the healthcare and life sciences division of Alphabet Inc., the parent company of Google. This area includes several subsidiaries, such as Verily and Calico, that focus on using technology, data, and research to address major health challenges, develop new treatments, and improve healthcare delivery. Alphabet Health works on projects ranging from disease prevention and clinical research to advanced medical devices and data-driven health insights.

What is the difference between Alphabet Health vs Medical Assistant?

AspectAlphabet HealthMedical Assistant
Required CredentialsVaries by role, often includes certifications or training programsHigh school diploma; certification preferred (e.g., CMA, RMA)
Work EnvironmentHealthcare settings, clinics, hospitals, or corporate health programsClinics, hospitals, physician offices, outpatient facilities
Employer & Industry UsageHealthcare organizations, health tech companies, insurance firmsMedical practices, hospitals, outpatient clinics
Common Search & Comparison IntentUnderstanding roles in healthcare tech and health servicesFinding clinical support roles in healthcare facilities

Alphabet Health typically refers to a healthcare organization or platform involved in health services or technology, whereas a Medical Assistant is a clinical support professional working directly in patient care settings. While both are part of the healthcare industry, their roles, credentials, and work environments differ significantly. Understanding these differences helps job seekers identify the right career path or employment opportunity.

What are the key skills and qualifications needed to thrive as an Alphabet Health employee, and why are they important?

To succeed at Alphabet Health, you generally need a strong background in healthcare, data analysis, and relevant academic or professional credentials in medicine, public health, or technology. Familiarity with digital health platforms, electronic health records, and data analytics tools like SQL or Python is highly valuable. Outstanding collaboration, adaptability, and communication skills help you work effectively on multidisciplinary teams in a fast-evolving environment. These abilities enable employees to drive innovation, improve patient outcomes, and adapt to the rapidly changing healthcare landscape.
Infographic showing various Alphabet Health job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 75% Full Time, 18% Part Time, and 6% Contract. Highlights an 52% Physical, and 48% Remote job distribution, with an average salary of $57,467 per year, or $27.6 per hour.
Senior Research Scientist, World Action Modeling

Senior Research Scientist, World Action Modeling

Waymo

Mountain View, CA • On-site

$213K - $263K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.
This role follows a hybrid work schedule and reports to a Staff Research Scientist / Tech Lead Manager
You will:
  • Design and implement generative world action modeling solutions to simulate future world states / observations and generate policies for embodied agents (autonomous vehicles).
  • Develop and maintain scalable data pipelines to process data from multiple sources.
  • Design and implement evaluation strategies for world action models.
  • Study and analyze different behaviors of this model, such as scaling efficacy, downstream quality implications, model architecture design ablations, etc.
  • Conducting cutting-edge research and potentially communicating research findings to the wider academic community via technical blog posts, technical reports and/or publications.
  • Collaborate inclusively across Waymo/Alphabet to apply developed techniques to Waymo products.

You have:
  • PhD degree in Computer Science or a similar discipline, or an equivalent amount of deep learning research experience, with 5+ years of experience with Deep Learning and Generative Models.
  • Strong coding skills in Python and strong familiarity with major ML Frameworks (JAX, Tensorflow, Pytorch).
  • Strong familiarity with AI tools in day to day work.
  • Experience in large-scale distributed training and different forms of parallelism.
  • Experience in generative models for domains such as world models, images, videaos, 3D, human animation, traffic, and/or simulation, using techniques such as diffusion and/or autoregressive models.

We prefer:
  • Publications at top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/IROS/CoRL etc.
  • Substantial involvement in and contributions to high impact industry AI projects.
  • First-hand experience in, and direct contributions to training large world models / world-action models.
  • Familiarity with Reinforcement Learning in simulation environments.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$213,000-$263,000 USD

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