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Remote Aws Machine Learning Jobs in Hoboken, NJ (NOW HIRING)

Shaped

Senior Machine Learning Engineer

Brooklyn, NY · On-site +1

$130K - $200K/yr

We're remote but have an office in Brooklyn, New York. We are looking for a machine learning engineer to design, build, experiment and optimize Shaped's AI discovery engine. You will be a founding ...

Autodesk

Senior Machine Learning Test Engineer

New York, NY · On-site +1

$120K - $157K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform) * Experience testing ML ...

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All JobsAws Machine Learning JobsRemote Aws Machine Learning JobsRemote Aws Machine Learning Jobs in Hoboken, NJ

Remote Aws Machine Learning information

What are the key skills and qualifications needed to thrive as a remote AWS Machine Learning engineer?

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What is a remote AWS Machine Learning job?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

What is the difference between Remote Aws Machine Learning vs Remote Data Scientist?

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.
What are popular job titles related to Remote Aws Machine Learning jobs in Hoboken, NJ? For Remote Aws Machine Learning jobs in Hoboken, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Aws Machine Learning jobs in Hoboken, NJ look for? The top searched job categories for Remote Aws Machine Learning jobs in Hoboken, NJ are:
What cities near Hoboken, NJ are hiring for Remote Aws Machine Learning jobs? Cities near Hoboken, NJ with the most Remote Aws Machine Learning job openings:
Remote Aws Machine Learning jobs near you

Senior Machine Learning Engineer

Shaped

Brooklyn, NY • On-site, Remote

$130K - $200K/yr

Full-time

Re-posted 17 days ago

Job description

Company Description

Shaped is an API for developers to seamlessly add personalized ranking and recommendation into their products. These frictionless discovery experiences help end-users find what they want faster, and, consequently, grow conversion and engagement business metrics. 

Ultimately, our goal is to make AI accessible and we see machine-learning for discovery (e.g. TikTok "For-You Page", FB "News feed" and YouTube "What to watch next") as the best place to start.

Shaped is a seed stage start-up backed by top investors (e.g. Y-Combinator, Susa Ventures, Tribe Capital etc...) and executives (e.g. Google, Amazon, Uber, Dropbox etc...). Our team comes from Meta, Google, Apple and Uber. We're remote but have an office in Brooklyn, New York.

Job Description

We are looking for a machine learning engineer to design, build, experiment and optimize Shaped's AI discovery engine. You will be a founding engineer that works on cutting-edge technologies and research, and applies them to impactful ranking problems. As one of Shaped's early employees you will help shape our product roadmaps and engineering culture.

We're excited to work with you. Come build the future of AI with us!

Qualifications
  • Bachelor's in computer science, data science or mathematics related field. Master's degree or PhD will be advantageous.
  • 6+ years of industry experience in a machine learning or data science role
  • Proficient with Python, SQL
  • Have the willingness to wear many hats, be passionate about unblocking issues for customers, and have an excitement for problem-solving
  • In-depth knowledge of mathematics, statistics and algorithms.
  • Operate well within fast paced, small teams 
  • Excellent written and verbal communication skills
Additional Information
  • Salary $130K - $200K 
  • Equity 0.10% - 0.50%

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