Machine Learning Developer

3+ months agoNew York, NY


Do you have a passion for building software solutions? Do you want to work closely with teams of Data Scientists and Data Engineers? Do you want to leverage your Big Data, AppDev, or DevOps experience and apply it to state-of-the-art technologies in Machine Learning and Artificial Intelligence?

At Amazon Web Services (AWS), we're hiring technical Machine Learning Developers to collaborate with our Data Scientists to deliver ground-breaking solutions for customers. We are looking for builders to support our efforts in the Enterprise, IoT, and start-up communities. We want to take your Data Engineering / Big Data / AppDev experience to a new level by exposing you to modern Machine Learning best practices and delivering AWS solutions in this high-demand field.

The ideal candidate will have deep experience in one or many of the following fields: Big Data Analytics, Data Management, Enterprise Application Development w/ serverless technologies, and IoT or Edge-Computing solutions. A familiarity with cloud solutions (not necessarily AWS) and DevOps is a must. This candidate will need a strong interest in machine learning, and will work with a team of data scientists to build end to end solutions. And, of course, the candidate MUST be willing to learn new technologies.

A commitment to team work, hustle, and communication skills are important in this role. Creating reliable, scalable, and high-performance ML / AI solutions requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems.

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 85,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We are a customer-obsessed organizationleaders start with the customer and work backwards. They work vigorously to earn and keep customer trust. As such, this is a customer facing role in a hybrid delivery model. Project engagements include remote delivery methods and onsite engagement that will include travel to customer locations as needed.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.


• BS or Masters degrees in computer science, engineering, or related technical, math, or scientific field
• 3+ years Application Development experience required with cloud technologies
• 3+ years of Architecture experience: data pipelines, distributed computing engines
• 3+ years of Software Development Experience: scripting languages (Python, R), database languages (SQL, PL/SQL, PG-PL/SQL), version control (GitHub, Bitbucket, AWS Code Commit, data structures, algorithms)
• 3+ years of Machine Learning Experience: ML frameworks, ML algorithms (understanding of classification, regression, clustering, embedding, NLP, and computer vision)


• 3+ years of Machine Learning Experience: ML algorithms, experience with training models, hyperparameter tuning, distributed model training, hosting and deployment of models, ML pipelines (able to whiteboard common components if ML pipelines)
• 3+ years of Data Visualization experience: Python/R frameworks such as matplotlib, seaborn, ploty, ggplot2; JavaScript frameworks such as D3
• 3+ years of Data Science experience: Python (NumPy, SciPy, Pandas, SciKit-learn, TensorFlow/PyTorch/MXNet
• 3+ years of Machine Learning experience: supervised learning (regression), supervised learning (classification)

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job ID: Amazon-1463976