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Remote Spacex Machine Learning Jobs in Colorado (NOW HIRING)

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

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

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

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 ...

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Remote Spacex Machine Learning information

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

To excel as a Remote SpaceX Machine Learning Engineer, you need strong expertise in machine learning, data analysis, and programming languages like Python, along with a relevant degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud computing platforms, and version control systems is typically necessary, and certifications in machine learning or data science can be advantageous. Excellent problem-solving skills, strong communication, and the ability to collaborate remotely are key soft skills that help you stand out. These skills ensure you can develop robust ML models that support SpaceX’s technical goals while effectively working within distributed teams.

What are some unique challenges of working remotely as a Machine Learning Engineer at SpaceX, and how can candidates prepare for them?

Working remotely as a Machine Learning Engineer at SpaceX presents unique challenges such as collaborating across distributed teams, managing time zones, and maintaining effective communication with colleagues involved in hardware and aerospace projects. To succeed, candidates should be proactive in seeking regular updates, use collaborative tools efficiently, and be comfortable working independently while still aligning with team objectives. Familiarity with remote development environments and a strong ability to document and present complex models are also key to thriving in this role.

What does a Remote SpaceX Machine Learning Engineer do?

A Remote SpaceX Machine Learning Engineer uses data-driven algorithms and models to solve complex problems for SpaceX, often focusing on areas such as rocket manufacturing, satellite communications, and mission planning. Working remotely, these engineers collaborate with cross-functional teams to design, develop, and implement machine learning solutions that improve efficiency, safety, and performance. They may analyze large datasets, build predictive models, and deploy AI systems to support SpaceX's ambitious goals in space exploration.

What is the difference between Remote Spacex Machine Learning vs Remote Spacex Data Scientist?

AspectRemote Spacex Machine LearningRemote Spacex Data Scientist
Required CredentialsAdvanced degree in Computer Science, AI, or related field; experience in ML frameworksDegree in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, algorithms, and AI systems for space applicationsAnalyzing data, creating insights, and supporting decision-making processes
Employer & Industry UsageUsed in AI-driven space missions, autonomous systems, and roboticsApplied in data analysis, reporting, and predictive modeling for space projects

Remote Spacex Machine Learning specialists focus on developing AI models for space technology, while Data Scientists analyze data to inform decisions. Both roles require strong technical skills and often collaborate but serve different core functions within the industry.

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

Data Scientist, Client Data & Measurement

Ibotta

On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 21 days ago

Job description

Ibotta is seeking a Data Scientistto join our Client Data & Measurement team and contribute to our mission to Make Every Purchase Rewarding. Our team leverages the latest developments and best practices in data science, testing methodologies, and statistics to provide actionable insights to the Client Data and & Measurement teams.
As a Data Scientist, you will be responsible for using the latest developments in statistics, machine learning, and data visualizations. 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 trustworthy and robust models and methodologies for use throughout the organization. This role will immediately drive impact through the support, guidance, and collaboration with multiple spokes as part of our Hub and Spoke organizational layout.You'll be able to advance not only your technical skills, but your organizational and leadership skills as well, by contributing to the creation of best practices for the team and company, and learning from the more senior scientists and managers on the team.
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:
  • Contribute to creating best practices 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
  • 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 techniques to measure and optimize model performance
  • Prepare models for production deployment and monitoring of performance over time
  • 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:
  • 2+ years of progressive experience in a professional data science, machine learning, statistics, or data analysis role, or related experience
  • Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Economics or similar field required; Advanced degree preferred
  • A passion for driving important decisions using data science 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
  • Demonstrated knowledge, skills, and abilities in developing and applying a variety of machine learning and statistical algorithms
  • Demonstrated Python skills. Spark or PySpark experience is a strong plus
  • Broad and general statistical and mathematical knowledge and skills
  • Excellent analytical and problem solving skills
  • Demonstrated knowledge, skills, and abilities in database manipulation, query languages, modeling techniques, and programming according to best practices
  • graph data schemasExposure to or interest in manipulating complex data distributed systems, and data streams
  • Exposure to or interest in MLOps a strong plus

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: $110,000 - $130,000. 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.
  • 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.
  • 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.

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