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Remote Aws Machine Learning Jobs in Colorado (NOW HIRING)

Relativity

Senior Applied Scientist

Denver, CO · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Develop machine learning and generative AI models that ship as customer-facing product features

Ibotta

Build models using a variety of statistical and machine learning techniques, from selecting the ... Remote #BI-Hybrid

Planet Labs PBC

Senior Geospatial AI/ML Engineer

Denver, CO · Remote

$107.60K - $147.70K/yr

The ideal candidate expresses great passion for machine learning, programming, remote sensing, and large-scale scientific computing. This is a full-time, hybrid role which will require you to work ...

Maximus

AI/ML Software Developer

Denver, CO · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Maximus

AI/ML Software Developer

Greeley, CO · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Maximus

AI/ML Software Developer

Thornton, CO · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Maximus

AI/ML Software Developer

Aurora, CO · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Maximus

AI/ML Software Developer

Fort Collins, CO · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

USAA

Data Scientist I

Colorado Springs, CO · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Develops scalable, automated solutions using machine learning, simulation, and optimization to ...

Crocs

Senior Manager Analytics & AI

Broomfield, CO · On-site +1

... remote environment while traveling to collaborate with global stakeholders and influence supply chain operations in-market. What You'll Do * Build and scale enterprise AI and machine learning ...

SciTec

Senior Numerical Algorithm Software Engineer

Boulder, CO · On-site +1

$127K - $167.50K/yr

Advance modeling, simulation, and machine learning toolchains, including development of reusable ... Knowledge of DoD or Intelligence Community mission systems, especially related to remote sensing or ...

CUJO AI

Director Platform Product Owner

Denver, CO · On-site +1

We use machine learning and real-world data to develop cybersecurity, device intelligence , network ... This position is fully remote. We are hiring across the US, UK, and Canada. In This Role, You Will:

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Remote Aws Machine Learning information

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

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 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 remote AWS Machine Learning jobs?

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 the most commonly searched types of Aws Machine Learning jobs in Colorado? The most popular types of Aws Machine Learning jobs in Colorado are:
What are popular job titles related to Remote Aws Machine Learning jobs in Colorado? For Remote Aws Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Aws Machine Learning jobs in Colorado look for? The top searched job categories for Remote Aws Machine Learning jobs in Colorado are:
What cities in Colorado are hiring for Remote Aws Machine Learning jobs? Cities in Colorado with the most Remote Aws Machine Learning job openings:
Remote Aws Machine Learning jobs near you
Staff Data Scientist, Core Data & Analytics

Staff Data Scientist, Core Data & Analytics

Ibotta

Denver, CO • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 25 days ago

Job description

Ibotta is seeking a Staff Data Scientist, Core Data & Analytics to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. Our growing Core Data & Analytics Data Science Team provides high-quality, on-time data science-related products and services across all business areas and teams within Ibotta. We do this by providing thought leadership, subject matter expertise, evangelism and governance of business-critical data science initiatives. This role will be primarily focused on building data assets and analytics solutions for the revenue organization.
As a Staff Data Scientist, you'll have the unique, challenging, and rewarding opportunity to be responsible for using the latest developments in statistics and machine learning. Using these skills, you will identify and build strategic opportunities to grow the business, support initiatives, and drive value. In addition, you will be expected to build accurate and reliable Machine Learning models for use throughout the organization. You'll be able to create and own greenfield opportunities to make big positive impacts on the revenue organization. You'll have the chance to own the data science technology of one or more critical initiatives core business domains, from collaborating with stakeholders, through the full model development lifecycle.
This position is available in multiple locations:
Denver, Colorado - if you are in or willing to relocate to the Denver area, this is a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday).
Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NY, NC, OH, OK, PA, TN, TX, UT, VA, WA, WI. If you're not in the Denver metro area or the listed states, relocation reimbursement to Denver is available.
Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one.
What you will be doing:
  • Provide subject matter expertise and ownership of one or more foundational models involving measurement, forecasting, or optimization of our content
  • Establish and lead best practices, setting the example for the team
  • Initiate and drive collaboration with stakeholders, architects, and data engineers to discover, define, cleanse, and refine the data needed for analysis and modeling
  • Analyze large and novel datasets to extract actionable insights to inform model development and understand consumer behavior
  • Provide customized views of large and complex datasets to support data analysis and business decision-making
  • Inform experimental design to formulate solutions addressing major business challenges and innovation opportunities
  • Build models using a variety of statistical and machine learning techniques, from selecting the best type of model for the problem to using advanced techniques to measure and optimize model performance
  • Harden data pipelines and models for production deployment and monitoring of performance over time as required
  • Become an expert of the Ibotta Data Ecosystem and how various teams leverage Ibotta's suite of data to answer domain specific business questions through advanced analytic techniques
  • Provide mentoring and education to this team and other teams across the company
  • Embrace and uphold Ibotta's Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere

What we are looking for:
  • 7+ years of experience making significant positive impacts in a professional data science or machine learning role
  • Bachelor's degree in Computer Science, Engineering, Analytics or a related field required
  • A history of and passion for driving important decisions using data and data storytelling
  • A love of learning and continuous development, including staying at the forefront of the latest advances in data science and machine learning. Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a strong plus
  • Expert-level knowledge, skills, and abilities in creating, developing, and applying a variety of new or existing machine learning and statistical algorithms
  • Expert-level Python knowledge, skills, and abilities. Spark/PySpark and MLOps experience is a strong plus
  • Excellent statistical analysis skills, with a solid understanding of experimental design

About Ibotta ("I bought a...")
Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop - all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine.
To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com.
Additional Details:
  • This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks, and occasional meals.
  • Base compensation range: $152,000 - $203,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.
  • Ibotta is an Equal Opportunity Employer. Ibotta's employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.
  • Applicants must be currently authorized to work in the United States on a full-time basis.
  • Applicants are accepted until the position is filled.
  • For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.

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