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Remote Machine Learning Postdoc Jobs in Evanston, IL

Senior Manager, Data Science

Chicago, IL · On-site +1

$122K - $228K/yr

Data Analytics & Reporting This is ideally a hybrid role but open to remote Role Overview We are ... Apply advanced analytics, machine learning, deep learning, and AI methodologies to build predictive ...

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

Drive modernization through advanced modeling techniques, machine learning, and AI to enhance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

Chicago, IL (Onsite & Remote) Full Time Required Skills: * BQ, Looker,GCP, SQL, DataFlow, Debezium ... Knowledge of integrating machine learning models and using GCP's AI * Deep knowledge of Google ...

... Remote Type of Hire 4 months contract They strictly want candidates from Insurance/ Claim with risk management background. The Sr Data Scientist will design and implement machine learning and NLP ...

New

Sr. Staff AI/ML Engineer

Chicago, IL · On-site +1

$220K - $255K/yr

This is a remote position ; however, the candidate must reside within 30 miles of one of the ... Lead the design, implementation, and production deployment of machine learning and AI-driven ...

Sr. Staff AI/ML Engineer

Chicago, IL · On-site +1

$220K - $255K/yr

This is a remote position ; however, the candidate must reside within 30 miles of one of the ... Lead the design, implementation, and production deployment of machine learning and AI-driven ...

Sr. Staff AI/ML Engineer

Chicago, IL · On-site +1

$220K - $255K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Lead the design, implementation, and production deployment of machine learning and AI-driven ...

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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 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 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 are the most commonly searched types of Machine Learning Postdoc jobs in Evanston, IL? The most popular types of Machine Learning Postdoc jobs in Evanston, IL are:
What are popular job titles related to Remote Machine Learning Postdoc jobs in Evanston, IL? For Remote Machine Learning Postdoc jobs in Evanston, IL, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Postdoc jobs in Evanston, IL look for? The top searched job categories for Remote Machine Learning Postdoc jobs in Evanston, IL are:
Senior AI Software Engineer (Agentic Systems & LLM Applications) | W2 Only | REMOTE |

Senior AI Software Engineer (Agentic Systems & LLM Applications) | W2 Only | REMOTE |

Xlysi

Chicago, IL • Remote

$126K - $166K/yr

Other

Posted 18 days ago


Job description

Role Overview
We are seeking an experienced AI-focused Software Engineer to design, build, and scale intelligent applications powered by modern AI and large language models. This is not a Data Scientist role-we are looking for a strong software engineering professional with deep expertise in building production-grade AI systems, APIs, and distributed architectures.

Key Responsibilities

Design and develop Python-based APIs for AI-powered applications and services
Build and orchestrate agentic workflows using modern frameworks such as LangChain, LangGraph, AutoGen, Semantic Kernel, or LlamaIndex
Implement and optimize Retrieval-Augmented Generation (RAG) pipelines
Develop scalable AI systems leveraging machine learning and deep learning frameworks
Integrate and manage vector databases (e.g., Pinecone, Weaviate, Chroma) for semantic search and memory
Architect and deploy applications across cloud platforms (AWS, GCP, Azure)
Apply domain-driven design (DDD) principles and build microservices architectures
Ensure code quality through strong use of object-oriented programming principles (inheritance, polymorphism) and proven design patterns
Collaborate cross-functionally to deliver robust, production-ready AI solutions

Required Qualifications

Strong experience in Python software development
Hands-on experience with LLM frameworks and orchestration tools (LangChain, LangGraph, AutoGen, etc.)
Solid understanding of RAG architectures and vector search systems
Experience working with machine learning frameworks such as TensorFlow or PyTorch
Proficiency in building and consuming RESTful APIs
Experience with cloud infrastructure (AWS, GCP, or Azure)
Strong knowledge of microservices architecture and domain-driven design
Deep understanding of object-oriented programming concepts and software design patterns

Preferred Qualifications

Experience building agent-based or autonomous AI systems
Familiarity with real-time AI applications and streaming architectures
Experience optimizing AI systems for performance and scalability
Exposure to MLOps practices and deployment pipelines

What Success Looks Like

You deliver scalable, production-grade AI systems, not prototypes
You can design complex agentic workflows that solve real business problems
You write clean, maintainable, and well-architected code
You bridge the gap between AI capabilities and software engineering excellence


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About Xlysi

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Princeton Junction, NJ, US

Year founded

2006