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Remote Mechanical Engineering Machine Learning Jobs in Colorado

Eliassen Group

Senior AI/ML Engineer

Almont, CO · Remote

$90 - $100/hr

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning solutions on AWS. The role includes LLM orchestration, RAG pipelines, vector database integration ...

Planet Labs PBC

Senior Geospatial AI/ML Engineer

Denver, CO · Remote

$107K - $147K/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 ...

Planet Labs PBC

Senior Geospatial AI/ML Engineer

Denver, CO · Remote

$107K - $147K/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 ...

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All JobsRemote Mechanical Engineering Machine Learning JobsRemote Mechanical Engineering Machine Learning Jobs in Colorado

Remote Mechanical Engineering Machine Learning information

What is the difference between Remote Mechanical Engineering Machine Learning vs Remote Mechanical Engineering?

AspectRemote Mechanical EngineeringRemote Mechanical Engineering Machine Learning
Required CredentialsBachelor's or Master's in Mechanical EngineeringBachelor's or Master's in Mechanical Engineering; knowledge of Machine Learning
Work EnvironmentDesign, analysis, CAD modeling, testingDesign, analysis, CAD modeling with ML integration, data analysis
Industry UsageManufacturing, automotive, aerospaceManufacturing, automotive, aerospace with AI/ML applications
Common Search/ComparisonYesYes

Remote Mechanical Engineering involves traditional engineering tasks like design and analysis, while Remote Mechanical Engineering Machine Learning combines these with AI techniques to optimize processes and develop intelligent systems. The latter requires additional knowledge of machine learning but shares many core skills and industry applications.

What is a Remote Mechanical Engineering Machine Learning job?

A Remote Mechanical Engineering Machine Learning job combines mechanical engineering expertise with machine learning techniques, allowing professionals to develop intelligent systems and optimize mechanical processes from a remote location. These roles often involve tasks such as analyzing engineering data, building predictive models, automating design tasks, and enhancing product performance using AI algorithms. Working remotely, engineers collaborate with teams through digital platforms, contributing to research, development, and deployment of machine learning solutions in mechanical engineering applications.

What are some typical challenges faced by remote mechanical engineers working with machine learning, and how can they be managed?

Remote mechanical engineers who work with machine learning often face challenges such as effective cross-functional collaboration, accessing and sharing large datasets, and keeping communication clear across distributed teams. To manage these, it's important to leverage collaborative tools for version control, data management, and regular virtual meetings. Building strong communication habits and proactively seeking feedback from data scientists, software engineers, and other stakeholders will help ensure project alignment and smooth workflows.
What are popular job titles related to Remote Mechanical Engineering Machine Learning jobs in Colorado? For Remote Mechanical Engineering Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Mechanical Engineering Machine Learning jobs in Colorado look for? The top searched job categories for Remote Mechanical Engineering Machine Learning jobs in Colorado are:
What cities in Colorado are hiring for Remote Mechanical Engineering Machine Learning jobs? Cities in Colorado with the most Remote Mechanical Engineering Machine Learning job openings:
Remote Mechanical Engineering Machine Learning jobs near you

Senior Computer Vision AI/ML Engineer (TS/SCI) {S}

ARKA Group

Aurora, CO • Remote

$130K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

ARKA Group L.P. (“ARKA”) is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today.

Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now!

Position Overview:

This position is for aSenior Computer Vision AI/ML Engineer. As a CV AI/ML Engineer, you will apply cutting-edge AI/ML-based Computer Vision algorithms to problems in remote sensing, including Automatic Target Recognition (ATR) and Multimodal Data Fusion for Electro-Optical (EO) and Synthetic Aperture RADAR (SAR). You will be responsible for maturing, optimizing, and deploying these algorithms to a cloud-hosted environment. You will also serve as a technical leader and will have the opportunity to guide a team of researchers and developers to see these algorithms from prototype to operations. 

We offer generous relocation benefits for eligible candidates.

In support of work/life balance, many positions are available for a flexible schedule within the pay period.  Ask us about the opportunity for flex scheduling if that’s of interest to you. 

Responsibilities:

As a CV AI/ML Engineer, your responsibilities include: 

  • Leading a small team consisting of developers and researchers to implement AI/ML algorithms to solve computer vision problems in remote sensing 
  • Analyzing and pre-processing large remote sensing datasets 
  • Researching supervised and unsupervised ATR solutions for remote sensing 
  • Researching the performance benefits of multimodal data fusion for ATR, under diverse data collection scenarios 
  • Training, optimizing, and deploying deep learning CV models that provide analysts with actionable insights 
  • Reviewing relevant publications to understand cutting edge concepts, break down key ideas to government customers, and apply to defense and commercial applications 
  • Writing technical documentation supporting code, program capabilities and user-guides 

              Required Qualifications:

              • BS in machine learning, computer science, computer vision, mathematics, or relevant fields
              • Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers 
              • Experience selecting a technical AI/ML approach and then iterating/pivoting as needed to enhance performance 
              • Experience with Python and any of the following Python machine learning frameworks: PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn / scikit-image, and/or OpenCV 
              • Experience training wither convolutional-based CV models (e.g. YOLOv3-11, YOLOX) or transformer-based CV models (Vision Transformer, Swin, etc.)
              • Effective communicator with the ability to write and present technical reports both internally to the engineering team and externally to customers 
              • 5+ years of experience, preferably in software development or as a data scientist with 3+ years of developing/training AI/ML models 
              • Active TS/SCI U.S. Government Security Clearance

                            Preferred Qualifications:

                            • MS or PhD in machine learning, computer science, computer vision, mathematics, or relevant fields 
                            • Experience with Self-Supervised Learning (SSL) and student-teacher approaches (e.g., DINO, knowledge distillation, BYOL) 
                            • Experience with applying AI/ML algorithms to Image Segmentation, Super Resolution, Image Denoising, Image Restoration, and Multi-INT Fusion 
                            • Experience with Graph Convolutional Networks (GCNs) and applying them to CV-based problems 
                            • Experience working with image processing chains for any of the following domains: SAR, EO, and OPIR 
                            • Experience working with datasets of overhead imagery like xView, SpaceNet datasets, Functional Map of the World, xView3, MSTAR, HRSID, CAESAR, DOTA v1/v2, etc. 
                            • Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc. 
                            • Experience with version control processes and tools for code version control, data version control, and model version control 
                            • Experience with Linux 
                            • Experience with implementing tracking and fusion, and pattern-of-life algorithms 
                            • Experience in application deployment, virtualization, and containerization 
                            • Experience shaping and writing proposals 
                            • Active TS/SCI with a Counter Intelligence (CI) or recent Full-Scope Polygraph (FSP) U.S. Government Security Clearance

                            Pay Range: $130,000 - $200,000

                            Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

                            The application window will close in 60 days for this position.

                            Location: Aurora, CO

                            Being situated at the foot of the Rocky Mountains, Aurora provides opportunities to enjoy all the beautiful nature that Colorado has to offer, while also being a 20-minute drive from downtown Denver and 15-minutes to the Denver International Airport.

                            What We Offer:

                            • Comprehensive medical/vision/dental insurance packages
                            • Company contributions to qualified HSA accounts
                            • 401k retirement plan with industry leading company contributions
                            • 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
                            • 13 paid holidays
                            • Upfront tuition assistance for approved degree programs
                            • Annual bonus program based on company and employee performance
                            • Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
                            • 4 weeks paid Parental Leave
                            • Employee assistance program (EAP)

                            EHS/Environmental Requirements:

                            This job operates in a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. This would require the ability to move around the campus and occasionally move/lift items weighing up to 25 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.

                            Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human Resources.

                            ITC & Security Clearance Requirements:

                            This position requires an active TS/SCI U.S. Government Security Clearance.

                            Visa Restrictions:

                            No visa sponsorship is available for this position.

                            Pre-employment Screenings:

                            Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.

                            Apply