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Remote Machine Learning Postdoc Jobs in Illinois

Senior Machine Learning Engineer

Chicago, IL · On-site +1

$150K - $185K/yr

POSITION SUMMARY The Senior Machine Learning Engineer is responsible for designing, building, and ... Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

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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 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 the most commonly searched types of Machine Learning Postdoc jobs in Illinois? The most popular types of Machine Learning Postdoc jobs in Illinois are:
What are popular job titles related to Remote Machine Learning Postdoc jobs in Illinois? For Remote Machine Learning Postdoc jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Postdoc jobs in Illinois look for? The top searched job categories for Remote Machine Learning Postdoc jobs in Illinois are:
What cities in Illinois are hiring for Remote Machine Learning Postdoc jobs? Cities in Illinois with the most Remote Machine Learning Postdoc job openings:
Machine Learning Quantitative Researcher - Work From Home

Machine Learning Quantitative Researcher - Work From Home

Next Step Systems

Chicago, IL • On-site, Remote

Full-time

Medical, Dental, Vision, Life

Posted 21 days ago


Job description

Machine Learning Quantitative Researcher - Work From Home
We are currently looking for a Machine Learning Quantitative Researcher for a great opportunity. The company participates in a wide variety of marketplaces including global futures, equities, commodities, options, fixed income, and cryptocurrencies. Their culture emphasizes teamwork and focuses on continuous integration and test-driven development. This position is 100% Remote.
Machine Learning Quantitative Researcher Responsibilities:
We are seeking a talented and self-motivated Quantitative Researcher to join a growing data science efforts.
You will work in a collaborative team with the potential to deliver significant contributions through data-driven insights and by providing high-quality research tools enabling reproducible and well-tested research to take place across the firm.
The ideal candidate will be responsible for designing, developing, and enhancing our python data science tools and frameworks. This includes working collaboratively with multiple trading teams, conducting alpha research, identifying new trading opportunities, and monitoring models in production.
Machine Learning Quantitative Researcher Qualifications:
- Bachelor's in mathematics, physics, computer science, or a related quantitative field with at least 4 years of relevant work experience or a Masters/PhD in mathematics, physics, computer science, or a related quantitative field with at least 2 years of relevant work experience.
- Strong GPA (3.5 or higher).
- Strong knowledge of probability, statistics, and machine learning for time-series data.
- Excellent programming skills in Python (C++ familiarity is a plus).
- Experience with software engineering best practices including TDD and CI/CD.
- Experience with distributed computing.
- Prior experience developing on a Linux stack.
- Effective prioritization while being mindful of long-term objectives.
- Able to take ownership of projects in a fast-paced collaborative environment.
- Strong attention to detail.
- Outstanding communication skills to collaborate with different stakeholders across multiple geographical locations.
Machine Learning Quantitative Researcher Preferred Experience
- Practical experience applying machine learning techniques for trading applications.
- Experience with high-performance computing (HPC) environments such as SLURM.
- Experience with orchestration and containerization tools (e.g. Singularity, Docker, Airflow, Prefect, etc.).
Benefits include medical, dental, vision, health savings account, life insurance policy, short-term/long-term disability insurance, employee assistance program, etc.
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Looking to hire for similar positions in Chicago, IL or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Machine Learning Quantitative Researchers for jobs in Chicago, Illinois and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Phone 630-428-0600 ext. 11 or email us at jobs@nextstepsystems.com. Click here to submit your resume for this job and others.
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