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Machine learning engineer Jobs in Aurora, CO

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Machine learning engineer • aurora co

Last updated: 6 hours ago

Machine Learning Engineer, Radar Perception II/III

Blue OriginDenver, CO
Full-time +1Full-time +1

Turning radar returns into a confident answer about what an object is and how it behaves is still an open problem.On this team, you'll own the AI layer that takes raw radar data, finds objects of i... Show more

 • New!

Senior Data Scientist / AI Machine Learning Research Engineer

CACI International IncDenver, CO, US
$82,100.00–$172,400.00 yearly$82,100.00–$172,400.00 yearly
Full-timeFull-time

Job Title: Senior Data Scientist / AI Machine Learning Research EngineerJob Category: ScienceTime Type: Full timeMinimum Clearance Required to Start: Top SecretEmployee Type: RegularPercentage of T... Show more

Director, Learning Technology

DAVITA LABSDenver, CO, United States
Full-timeFull-time

DaVita is elevating learning capabilities for 70,000+ teammates across the Village.Within Wisdom, our enterprise learning organization, the Learning Technology function owns the platforms (LMS/LXP)... Show more

Machine Operator 2

Direct WireDenver, US
Full-timeFull-time

Proudly Recognized as Lancaster County's Best Place to Work.Excellent Career Growth Opportunities The 800 Buncher Machine Operator is responsible for setting up, operating, and monitoring wire bunc... Show more

Manager, Learning and Development

STACK InfrastructureDenver, CO, United States
$115,540.00–$128,260.00 yearly$115,540.00–$128,260.00 yearly
Full-timeFull-time

Learning & Development Manager.Stack Infrastructure (Stack) provides digital infrastructure to scale the world's most innovative companies.We are an award-winning industry leader in building, ownin... Show more

Industrial Maintenance/Machine & Equipment

Monarch Metal ManufacturingDenver, CO, US
Full-timeFull-time
Quick Apply

Industrial Maintenance Technician Installs, repairs, and maintains machinery and mechanical equipment by completing preventive maintenance.Locates sources of problems by observing mechanical device... Show more

Machine Learning Engineer

Booz Allen HamiltonAurora, CO
$77,600.00–$176,000.00 yearly$77,600.00–$176,000.00 yearly
Full-time +1Full-time +1

As a programmer, you know that machine learning is critical to understanding and processing massive datasets.Your ability to conduct statistical analyses on business processes using ML techniques m... Show more

AVP, Machine Learning & Modeling

VizientCO 80111, Centennial
$156,500.00–$290,100.00 yearly$156,500.00–$290,100.00 yearly
Full-timeFull-time

When you’re the best, we’re the best.We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authe... Show more

Plastics Machine Operator

Kärcher North America IncAurora, US
$20.00–$25.00 hourly$20.00–$25.00 hourly
Full-timeFull-time

The salary range for this position is $20.The deadline to submit applications is initially set for Monday November 16th, 2026.However, the application period is subject to potential extensions or c... Show more

Sr. Machine Learning Engineer

AppFolio, IncRemote - Denver, CO
$167,200.00–$229,900.00 yearly$167,200.00–$229,900.00 yearly
RemoteRemote
Full-timeFull-time

Hi, We're AppFolioWe're innovators, changemakers, and collaborators.We're more than just a software company — we're building the AI-native platform where the real estate industry comes to do busine... Show more

Staff Machine Learning Engineer

AppFolio, IncRemote - Denver, CO
$200,000.00–$275,000.00 yearly$200,000.00–$275,000.00 yearly
RemoteRemote
Full-timeFull-time

Hi, We're AppFolioWe're innovators, changemakers, and collaborators.We're more than just a software company — we're building the AI-native platform where the real estate industry comes to do busine... Show more

Junior Machine Learning Engineer-remote

SynergisticITDenver, CO
RemoteRemote
Full-timeFull-time

The Secret to Getting Hired in Tech Again.Getting hired in tech isn't just about knowing how to code — it's about proving you can deliver value from day one.SynergisticIT helps you do exactly that.... Show more

Staff Machine Learning Engineer - Leasing

AppFolio, IncRemote - Denver, CO
$200,000.00–$275,000.00 yearly$200,000.00–$275,000.00 yearly
RemoteRemote
Full-timeFull-time

We're innovators, changemakers, and collaborators.We're more than just a software company — we're building the AI-native platform where the real estate industry comes to do business.We're transform... Show more

Principal Machine Learning Engineer

AppFolio, IncRemote - Denver, CO
RemoteRemote
Full-timeFull-time

Hi, We're AppFolioWe're innovators, changemakers, and collaborators.We're more than just a software company — we're building the AI-native platform where the real estate industry comes to do busine... Show more

A/AI Machine Learning Engineering Mgr - L5

Lockheed MartinDenver, CO, United States
$148,300.00–$275,500.00 yearly$148,300.00–$275,500.00 yearly
Full-timeFull-time

Lockheed Martin Chief Digital And Ai Office Leader.The Lockheed Martin Chief Digital and AI Office (CDAO) is seeking a leader for the Applied AI Mission Integration team, leading STAR.Data is a sol... Show more

SUPERVISOR, EXTENDED LEARNING

Denver Public SchoolsDenver, CO, United States
$48,534.00–$58,242.00 yearly$48,534.00–$58,242.00 yearly
Full-time +2Full-time +2

Supervises day-to-day duties of an operational unit.Ensures completion of daily activities, directs and supports the team's work efforts, maximizes productivity and achieves short term goals.Improv... Show more

Sr Manager, Learning Technology (Remote)

Veracity SolutionsDenver, CO, United States
Full-timeFull-time

Sr Manager, Learning Technology (Remote).The Senior Manager of Learning Technology is responsible for leading the strategic direction and operational performance of enterprise learning technologies... Show more

Machine Learning Engineer / MLOps Engineer

Bet365Denver, Colorado, US
Full-timeFull-time

We are seeking a highly pragmatic, results-driven Machine Learning (ML) Engineer to join our newly established US Data team.In this role, you will build the reliable, automated infrastructure that ... Show more

Field Learning Manager

SmashburgerDenver, Colorado, United States
Full-timeFull-time

You'll partner with restaurant operations to deliver engaging training programs, coach new managers, support restaurant openings, and ensure our teams have the skills and confidence to deliver exce... Show more

Machine Operator I

Re:Build ManufacturingCommerce City, CO, US
$16.50–$25.00 hourly$16.50–$25.00 hourly
Full-timeFull-time

About Re:Build Manufacturing & Oribi.At Re:Build, our mission is to ensure the next generation of important products are made, at scale, in America.We are laying the foundation for a better fut... Show more

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Machine Learning Engineer, Radar Perception II/III

Machine Learning Engineer, Radar Perception II/III

Blue OriginDenver, CO
6 hours ago
Job type
  • Full-time
  • Permanent
Job description

Job Description


Why this role Turning radar returns into a confident answer about what an object is and how it behaves is still an open problem. On this team, you'll own the AI layer that takes raw radar data, finds objects of interest, and characterizes them well enough that the autonomy stack or operator can act on the result. You will be developing technology where labeled data is scarce, hardware resources are constrained, and the output matters. This is a new development program where you get to decide the model architecture.


Responsibilities include but are not limited to:

  • Design, train and evaluate deep learning models (GNNs, transformers, DRL, Learned Algorithm Unfolding or hybrids) that find and classify objects of interest in raw radar data as well as range-Doppler and range-angle maps.
  • Build characterization models that estimate object attributes such as size, shape, motion state, track, behavior, with calibrated uncertainty.
  • Represent radar data in the right form for each model, for example point or track graphs for GNNs.
  • Build the data engine: synthetic data generation, simulation-based training, labeling strategy, augmentation, and handling of class imbalance.
  • Detect inputs that fall outside the training data, and flag low-confidence results so downstream systems know when not to trust the model.
  • Work with the Advanced Systems, DSP, GNC, and flight software teams to define how data is handed between stages and to deploy models on embedded or edge hardware.
  • Define the metrics, test sets, and evidence needed to qualify ML models for deployment to the edge.

Minimum Qualifications

  • BS in Computer Science, Electrical Engineering, Computer Engineering, Physics, or a related field, plus about 3 years of ML engineering experience.
  • A track record of building and shipping deep learning models in PyTorch (or similar).
  • Edge deployment (TensorRT, quantization, FPGA or SoC targets).
  • Strong Python skills
  • Working knowledge of radar fundamentals: range, Doppler, angle, resolution, clutter, and multipath.

Preferred Qualifications

  • Familiarity with Ground Moving Target Indicator (GMTI) or Airborne Moving Target Indicator (AMTI) signal processing concepts and their implications on system design
  • Experience with sensor data from radar, sonar, SAR, lidar, or RF.
  • Training on synthetic or simulated data, and closing the gap between simulation and real data.
  • Uncertainty quantification, calibration, or out-of-distribution detection.
  • Experience with embedded C++
  • Active TS/SCI

What you get in this role

  • Ownership from the start. You'll define the radar AI architecture on a new program.
  • Work that matters. Your models will directly support national security missions in space.
  • Hard problems. Very little labeled data, unknown environments, and edge deployment, which is where ML engineering is most interesting.
  • Strong peers. You'll work alongside AI/ML, RF, sensing, GNC, and flight software engineers who build systems for space.

Base Pay Range for:

VA applicants is $130,706.00 - $182,987.70 CO applicants is $119,814.00 - $167,738.55

Other site ranges may differ


Culture Statement

Don’t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.


Export Control Regulations

Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.


Background Check

  • Required for all positions: Blue’s Standard Background Check
  • Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation
  • Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing, vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.
  • Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical

Benefits

  • Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.
  • Stock Options for all regular employees (working at least 20 hours/week)
  • Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.
  • Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.

Equal Employment Opportunity

Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on “Know Your Rights,” please see here.


Affirmative Action and Disability Accommodation

Applicants wishing to receive information on Blue Origin’s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at . Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.