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Android Platform Developer Machine Learning Jobs

Samprasoft

Machine Learning Engineer

Mclean, VA · On-site

GCP/AWS Machine Learning Engineer Freddie Mac iLab is currently looking for Machine Learning ... technology platforms across AWS and GCP. What you will do: * Work within an agile team that ...

PrizePicks

Machine Learning Platform Engineer

Atlanta, GA · On-site +1

$135K - $160K/yr

Design and build the end-to-end machine learning infrastructure, setup platform for transitioning ... developer experience. You will champion best practices for model deployment, monitoring, and CI/CD ...

Collabera

Android Developer

Eagan, MN

$56.75 - $74.75/hr

Candidates should have extensive knowledge of the Android Platform, software development methods, and OOP design patterns and programming skills, Web Services ideally using RESTful service ...

Trimble

Android OS Platform Engineer

Corvallis, OR

Pioneer the Future of Connected Devices as an Android Platform Software Engineer Ready to make a ... Our impact is tangible, from connected machines that save fuel to data-driven insights that reduce ...

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Android Platform Developer Machine Learning information

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How much do android platform developer machine learning jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for android platform developer machine learning in the United States is $73.25, according to ZipRecruiter salary data. Most workers in this role earn between $62.50 and $91.83 per hour, depending on experience, location, and employer.

What is the difference between Android Platform Developer Machine Learning vs Android Developer?

AspectAndroid Platform Developer Machine LearningAndroid Developer
Required CredentialsBachelor's in Computer Science, experience with ML frameworksBachelor's in Computer Science or related field
Work EnvironmentDeveloping Android apps with integrated ML featuresDesigning and coding Android applications
Industry UsageTech companies integrating AI/ML into appsBroad app development across industries
Search/Comparison IntentUnderstanding ML-specific Android rolesGeneral Android app development roles

Android Platform Developer Machine Learning focuses on integrating machine learning models into Android apps, requiring knowledge of ML frameworks. Android Developers primarily build standard Android applications without specialized ML expertise. While both roles develop for Android, the Machine Learning variant emphasizes AI integration, making it suitable for roles involving AI-powered features.

What are the key skills and qualifications needed to thrive as an Android Platform Developer specializing in Machine Learning, and why are they important?

To thrive as an Android Platform Developer specializing in Machine Learning, you need a solid background in computer science, proficiency in Android SDK, Java/Kotlin, and a strong grasp of machine learning principles. Experience with tools like TensorFlow Lite, ML Kit, and familiarity with version control systems such as Git are typically required, along with a relevant degree or certifications. Strong problem-solving skills, creativity, and effective communication set top developers apart in this field. These combined skills are critical for creating efficient, innovative, and user-friendly ML-powered Android applications that meet both technical and business requirements.

How do Android Platform Developers specializing in Machine Learning typically collaborate with other teams during the development process?

Android Platform Developers focused on Machine Learning often work closely with cross-functional teams, including mobile app developers, data scientists, and product managers. They help integrate machine learning models into Android apps by optimizing performance and ensuring compatibility with different device configurations. Regular collaboration involves translating business requirements into technical solutions, reviewing code, and troubleshooting issues that arise during implementation. This role requires effective communication skills to bridge the gap between research, development, and deployment teams, ensuring seamless user experiences.

What does an Android Platform Developer specializing in Machine Learning do?

An Android Platform Developer specializing in Machine Learning designs, develops, and integrates machine learning models and algorithms into Android operating systems and applications. They work on optimizing ML frameworks for mobile devices, ensuring efficient performance and low power consumption. Their role often involves collaborating with app developers, data scientists, and hardware engineers to deliver seamless and intelligent user experiences on Android devices.
Machine Learning Platform Engineer

Machine Learning Platform Engineer

Schrödinger

Manhattan, NY

$120K - $145K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

Job description

Schrödinger seeks a Machine Learning (ML) Platform Engineer to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods!
As a member of the Machine Learning team, you'll build scalable software systems that enable scientists and engineers to train, deploy, and analyze machine learning models at scale. Our machine learning platform, LiveDesignML, supports applications ranging from molecular property prediction and generative chemistry to protein modeling.
Who will love this job:

  • A highly-skilled software engineer who understands coding fundamentals, is experienced with Python, and has run projects end-to-end, from prototype to production
  • An ML expert who's familiar with PyTorch, TensorFlow, and scikit-learn
  • An analytical thinker who enjoys working with multi-dimensional data, solving data-processing problems, and digging through complex systems to solve technical problems
  • A polymath who's excited about working collaboratively in an interdisciplinary environment and comfortable with self-directed research and problem exploration
What you'll do:
  • Design and develop infrastructure supporting machine learning training, inference, and experimentation workflows
  • Build and maintain production systems that enable scientists to run large-scale ML workloads
  • Collaborate with scientists, ML researchers, and engineers to translate research ideas into reliable software tools
  • Contribute to backend services and APIs supporting ML workflows and platform features
  • Improve developer workflows, testing infrastructure, and deployment automation
  • Participate in code reviews and contribute to engineering best practices across the team
  • Pitch in on frontend components of the ML platform web interface when needed
What you should have:
  • BS, MS, or PhD in Computer Science, Machine Learning, Software Engineering, Mathematics, Physics, Chemistry, or a related field
Experience with the following is nice to have, but not required:
  • Cloud platforms like AWS or GCP
  • Containerization and orchestration (e.g., Docker, Kubernetes, Argo Workflows, Helm charts, etc.)
  • CI/CD systems and modern software development workflows (e.g., Jenkins, GitHub Actions, etc.)
  • Monitoring, logging, or observability systems
  • Distributed computing or large-scale ML workloads
  • ML training pipelines or experiment management
  • Data processing pipelines or large-scale data analysis
  • Source control systems (Git or similar)
  • Web application development (e.g., React, TypeScript, REST APIs)
  • Interest in scientific computing, chemistry, biology, physics, or related domains

Pay and perks:
Schrödinger understands it's people that make a company great. Because of this, we're prepared to offer a competitive salary, equity-based compensation, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We have regular catered meals in the office, a company culture that is relaxed but engaged, and over a month of paid vacation time. Our Office Management team also plans a myriad of fun company-wide events. New York is home to our largest office, but we have teams all over the world. Schrödinger is honored to have been included in Crain's New York Best Places to Work, BuiltIn's NYC Best Place to Work, and Newsweek's list of America's 100 Most Loved Workplaces.
Estimated base salary range: $120,000 - $145,000. Actual compensation package is dependent on a number of factors, including, for example, experience, education, degrees held, market data, and business needs. If you have any questions regarding the compensation for this role, do not hesitate to reach out to a member of our Strategic Growth team.
Sound exciting? Apply today and join us!
As an equal opportunity employer, Schrödinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, sexual orientation, or any other protected characteristic. To us, "diversity" isn't just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesn't mean better headlines or public images - it means increased adaptability and profitability.

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