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Seasonal Healthcare Machine Learning Jobs (NOW HIRING)

Unitytech

Machine Learning Engineer

San Francisco, CA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Unity also enables teams across industries like automotive, manufacturing, and healthcare to design ...

Q2

Machine Learning Engineer

Austin, TX · Hybrid

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... And our benefits go beyond healthcare-offering resources for physical, mental, and professional ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... And our benefits go beyond healthcare-offering resources for physical, mental, and professional ...

Unitytech

Machine Learning Engineer

Bellevue, WA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Unity also enables teams across industries like automotive, manufacturing, and healthcare to design ...

BetterHelp

Machine Learning Engineer

... make mental health care more accessible to everyone. Founded in 2013, we are now the world ... As a Machine Learning at BetterHelp, you'll join a diverse team of licensed clinicians, engineers ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

This person will implement and develop machine learning models to enhance our platform ... Top-tier health, vision, and dental insurance, including plans with $0 employee cost. * Unlimited ...

Qfanalytics

Machine Learning Engineer

Miami, FL · On-site

$80 - $120/hr

The Machine Learning Researcher should be interested in Financial Markets, and will be directly ... Comprehensive health benefits plan that kicks in after 90 days of successful employment, including ...

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Seasonal Healthcare Machine Learning information

What is the difference between Seasonal Healthcare Machine Learning vs Healthcare Data Analyst?

AspectSeasonal Healthcare Machine LearningHealthcare Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of machine learningDegree in Health Informatics, Data Analysis, or related field; proficiency in data analysis tools
Work EnvironmentTech-focused healthcare settings, research labs, or hospitals with AI integrationHospitals, clinics, or healthcare organizations analyzing patient data
Employer & Industry UsageHealthcare tech companies, research institutions, hospitals implementing AI modelsHealthcare providers, insurance companies, public health agencies

While both roles involve healthcare data, Seasonal Healthcare Machine Learning focuses on developing predictive models using machine learning techniques, especially for seasonal trends. Healthcare Data Analysts interpret healthcare data to inform decisions but typically do not develop complex machine learning algorithms. The roles overlap in data handling but differ in technical complexity and focus.

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What are the most commonly searched types of Healthcare Machine Learning jobs?

The most popular types of Healthcare Machine Learning jobs are:

What job categories do people searching Seasonal Healthcare Machine Learning jobs look for?

The top searched job categories for Seasonal Healthcare Machine Learning jobs are:

Seasonal Healthcare Machine Learning jobs near you
Infographic showing various Seasonal Healthcare Machine Learning job openings in the United States as of August 2026, with employment types broken down into 3% As Needed, 64% Full Time, 15% Part Time, and 18% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Machine Learning Engineer - Health AIML

Apple

Cambridge, MA

$216K - $394K/yr

Full-time

Medical, Dental, Retirement

Re-posted 12 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.
Description
In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning models and systems. You will solve ambitious problems involving unique data and high-impact products, including state-of-the-art generative AI technologies. The successful candidate should possess excellent interpersonal skills and the ability to work cross-functionally to rapidly apply engineering best practices and novel research techniques at the intersection of Health, ML, and consumer products.
Preferred Qualifications
Ph.D. in Computer Science, Machine Learning, or a related field.
Strong background in generative models, natural language processing (NLP), and large language models (LLMs).
5+ years of hands-on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets and/or production applications.
Proficiency developing and working with large-scale models using modern machine learning packages (e.g., TensorFlow, PyTorch, Jax, Huggingface).
Proficiency in building and troubleshooting modern agentic systems (prompt tuning, routing, planning, multi-agent, RAG, tool use, memory management, etc.).
Experience with healthcare data, products, and workflows.
Ability to thrive in a fast-paced environment, deal with uncertainty, and adapt to new and changing requirements.
Proven track record of contributing to diverse teams in a collaborative environment.
A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills.
Minimum Qualifications
10+ years of overall software development experience.
Experience leading a team and/or a proven track record of cross-functional collaboration to deliver customer-facing features with machine learning capabilities in production.
BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, or related fields (or equivalent qualification).
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $216,200 and $394,000, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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