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Remote Machine Learning Postdoc Jobs in Denver, CO

Synergetics

Software Engineer II

Denver, CO · On-site +1

$90K - $110K/yr

The platform transforms data from multiple sources, uses Azure's machine-learning capabilities for ... This is a mostly remote position; candidates should reside or be willing to relocate to Northern ...

Moore

Coordinator, Account Management

Westminster, CO · On-site +1

$20 - $26/hr

... remote role. SimioCloud, a Moore company, delivers advanced data, analytics, and machine learning solutions to help nonprofit organizations optimize fundraising and marketing performance. Our ...

Breakthru

Manager, Talent & People Analytics

Denver, CO · On-site +1

Time Type: Full time Remote Type: Job Family Group: Human Resources Summary: The Manager, Talent ... Demonstrated experience applying AI, machine learning, and predictive analytics concepts to talent ...

The Mutual Group

Lead AI Engineer - AWS Platform

Denver, CO · On-site +1

$130K - $190K/yr

Build machine learning models that automate their training, validation, monitoring, and retraining ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

Cleerly

Software Engineer III

Denver, CO · On-site +1

$59.25 - $79.50/hr

While we are mostly a remote company, travel is required for some team meetings and cross function ... our machine learning algorithms. * Contribute to the system architecture's design and make ...

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Remote Machine Learning Postdoc information

Is ML a high paying job?

Machine learning postdoctoral positions are generally well-paid compared to many academic roles, with salaries often ranging from $60,000 to over $100,000 annually depending on experience, location, and funding. These roles typically require strong programming skills in Python or R and knowledge of algorithms and data analysis, which can contribute to higher compensation levels.

Is a PhD in ML worth it?

A PhD in machine learning can enhance qualifications for a remote machine learning postdoc position, often leading to higher-level research opportunities and increased earning potential. However, it requires significant time investment and may not be necessary for industry roles that value practical skills and experience with tools like Python and TensorFlow. The decision depends on career goals and the specific requirements of the desired position.

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.

Is a postdoc harder than a PhD?

A remote machine learning postdoc typically involves more specialized research, higher expectations for independence, and often requires advanced skills in programming and data analysis. While a PhD focuses on completing a dissertation and gaining foundational expertise, a postdoc emphasizes producing publishable research and may involve longer hours and greater responsibility, making it generally more demanding in terms of research output and expertise. However, the difficulty varies based on individual experience and research environment.

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.

Do you need H-1B for postdoc?

A remote machine learning postdoctoral position typically does not require H-1B sponsorship if the candidate is already authorized to work in the country, such as through a visa or citizenship. However, international candidates may need H-1B or other work visas depending on the employer and local immigration laws. Employers often sponsor visas for postdocs to comply with legal requirements and facilitate employment.

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 popular job titles related to Remote Machine Learning Postdoc jobs in Denver, CO? For Remote Machine Learning Postdoc jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Postdoc jobs in Denver, CO look for? The top searched job categories for Remote Machine Learning Postdoc jobs in Denver, CO are:
Remote Machine Learning Postdoc jobs near you
Senior Advisor, Data Science - Medical Cost Trend & Forecasting - Remote

Senior Advisor, Data Science - Medical Cost Trend & Forecasting - Remote

Cigna

Denver, CO • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Cigna Healthcare rating

8.3

Company rating: 8.3 out of 10

Based on 236 frontline employees who took The Breakroom Quiz

28th of 886 rated healthcare providers

Job description

Join our Data Science Center of Expertise and help shape the future of healthcare forecasting. In this role, you will drive innovative approaches to medical cost trend forecasting and reserving, improving accuracy and enabling smarter financial decisions. You will work with cross-functional partners to bring advanced analytics to life and strengthen the predictability and stability of our business.

Responsibilities

  • Lead the design and delivery of advanced medical cost forecasting solutions that improve claim reserving and enterprise financial forecasting

  • Prototype and validate new analytical approaches using techniques such as time series modeling, simulation, and machine learning

  • Create diagnostics and performance measures to evaluate forecast accuracy and explain key cost drivers

  • Partner with finance, actuarial, and business teams to translate forecasting needs into actionable analytics solutions

  • Communicate findings through clear insights, presentations, and technical documentation to support decision-making

  • Develop early-warning analytics to identify emerging cost trends and risks

  • Collaborate with data engineering and product teams to ensure scalable and interpretable solutions

  • Contribute to model monitoring, governance, and continuous improvement processes

  • Mentor junior team members and share best practices across the data science community

Qualifications

Required Qualifications

  • 5+ years of experience in data science, analytics, or a related field

  • Strong proficiency in Python, SQL, machine learning, and statistical modeling

  • Hands-on experience with forecasting techniques such as time series analysis, simulation, or scenario modeling

  • Experience working with large datasets using platforms such as Databricks or Spark

  • Ability to communicate complex analytical concepts to technical and business audiences

  • Experience partnering cross-functionally to deliver data-driven solutions

Preferred Qualifications

  • Experience in healthcare payer analytics, including medical cost trend, reserving, or pricing

  • Experience with anomaly detection or advanced statistical techniques

  • Knowledge of model lifecycle management and best practices for reproducible research

  • Demonstrated ability to mentor and guide junior team members


If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.For this position, we anticipate offering an annual salary of 131,200 - 218,600 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus plan.

At The Cigna Group, you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, click here.

About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

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