2

Remote Machine Learning Postdoc Jobs in Rhode Island

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

next page

Showing results 1-20

Remote Machine Learning Postdoc information

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Postdoc, and why are they important?

A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.

What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?

Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.

What is a Remote Machine Learning Postdoc?

A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.
What are popular job titles related to Remote Machine Learning Postdoc jobs in Rhode Island? For Remote Machine Learning Postdoc jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Postdoc jobs in Rhode Island look for? The top searched job categories for Remote Machine Learning Postdoc jobs in Rhode Island are:
What cities in Rhode Island are hiring for Remote Machine Learning Postdoc jobs? Cities in Rhode Island with the most Remote Machine Learning Postdoc job openings:
Infographic showing various Remote Machine Learning Postdoc job openings in Rhode Island as of May 2026, with employment types broken down into 72% Full Time, 12% Part Time, and 16% Contract. Highlights an 100% Remote job distribution.

Lead Data Engineer - Databricks & Microsoft Fabric

Spyglass , Inc. Defunct

Lincoln, RI • Remote

$93.50K - $123.20K/yr

Other

Posted 14 days ago


Job description

Location: Remote (Preference for candidates located in New England)
Engagement: Contract or Contract-to-Hire
Lead Data Engineer
Databricks & Microsoft Fabric
Overview
Spyglass MTG is seeking a highly skilled Lead Data Engineer with strong expertise in Databricks and Microsoft Fabric to help design, build, and scale modern data platforms in Azure.
This role is both strategic and hands-on. The ideal candidate will lead the development of enterprise data solutions while actively building scalable pipelines, lakehouse architectures, and data platforms that support analytics, reporting, and AI initiatives.
The Lead Data Engineer will work closely with data architects, analysts, and business stakeholders to deliver high-performance data solutions that enable organizations to leverage their data more effectively.
Responsibilities
• Design and implement modern data platforms using Databricks and Microsoft Fabric
• Build and maintain scalable data pipelines and ingestion frameworks
• Develop and optimize Spark and PySpark workloads within Databricks
• Implement lakehouse and data warehouse architectures
• Design and manage data models supporting analytics and reporting
• Collaborate with data scientists and analytics teams to support AI and advanced analytics initiatives
• Implement data quality, governance, and security best practices
• Provide technical leadership and mentorship to data engineering team members
• Optimize performance, reliability, and scalability of data platforms
Requirements
• 7+ years of experience in data engineering or data platform development
• Strong hands-on experience with Databricks and Apache Spark
• Experience implementing Microsoft Fabric data solutions
• Proficiency in Python and PySpark
• Experience working with Azure data services and cloud-based data platforms
• Experience designing modern lakehouse or data warehouse architectures
• Strong understanding of data pipeline design, ETL/ELT processes, and data modeling
Preferred
• Experience supporting AI or machine learning workloads
• Experience working in enterprise data environments
• Familiarity with CI/CD and data platform automation