In support of work/life balance, many positions are available for a flexible schedule within the ... Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ...
In support of work/life balance, many positions are available for a flexible schedule within the ... Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ...
In support of work/life balance, many positions are available for a flexible schedule within the ... Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ...
In support of work/life balance, many positions are available for a flexible schedule within the ... Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ...
Principal AI/ML Engineer (Large Language Model) (TS/SCI) {S} with Security Clearance
Aurora, CO · Remote
In support of work/life balance, many positions are available for a flexible schedule within the ... Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ...
Principal AI/ML Engineer (Large Language Model) (TS/SCI) {S} with Security Clearance
Aurora, CO · Remote
In support of work/life balance, many positions are available for a flexible schedule within the ... Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ...
Remote Tree Work information
What are the key skills and qualifications needed to thrive in Remote Tree Work, and why are they important?
To thrive in Remote Tree Work, you need strong knowledge of arboriculture, tree climbing techniques, and safe chainsaw operation, typically supported by relevant certifications such as ISA Certified Arborist or Tree Worker credentials. Familiarity with tree assessment tools, rigging systems, and aerial lift equipment is often required. Physical fitness, attention to detail, and effective communication are essential soft skills for safety and teamwork in challenging environments. These skills ensure safe and efficient tree care, minimize risks, and facilitate collaboration in often hazardous and remote settings.
What are some common challenges faced by professionals in remote tree work, and how can they be addressed?
Professionals in remote tree work often encounter challenges such as difficult terrain, unpredictable weather conditions, and limited access to resources or emergency support. Effective preparation, including thorough site assessments, proper safety gear, and clear communication protocols, is essential for overcoming these obstacles. Many teams rely on advanced technology, such as drones or GPS mapping, to plan and execute tasks safely and efficiently. Collaborative teamwork and ongoing training help ensure everyone is prepared for the unique demands of working in remote locations.
What is remote tree work?
Remote tree work refers to arboricultural tasks performed in locations that are difficult to access, often far from urban centers or traditional job sites. This work can include tree pruning, removal, health assessments, and other tree care services in remote or wilderness areas. Professionals in this field may need specialized equipment and skills to safely manage trees in challenging terrain, such as forests, mountains, or areas inaccessible by vehicles. Remote tree work is essential for maintaining healthy ecosystems, preventing wildfires, and ensuring safety in areas where trees may pose risks to infrastructure or natural habitats.
What is the difference between Remote Tree Work vs Arborist?
| Aspect | Remote Tree Work | Arborist |
|---|---|---|
| Credentials | Certifications vary; often includes safety and equipment operation | Required certifications include ISA Arborist Certification, safety training |
| Work Environment | Primarily remote, planning, consulting, or administrative tasks | On-site, involving climbing, pruning, and tree maintenance |
| Industry Usage | Used in consulting, project management, or remote support roles | Hands-on tree care and maintenance roles in the industry |
Remote Tree Work typically involves planning, consulting, or administrative tasks that can be performed remotely, often requiring certifications in safety and equipment. In contrast, Arborists work directly in the field, performing tree pruning, removal, and maintenance on-site. While both roles may share safety certifications, their work environments and daily tasks differ significantly.
What are the most commonly searched types of Tree Work jobs in Colorado? The most popular types of Tree Work jobs in Colorado are:
What are popular job titles related to Remote Tree Work jobs in Colorado? For Remote Tree Work jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Tree Work jobs in Colorado look for? The top searched job categories for Remote Tree Work jobs in Colorado are:
What cities in Colorado are hiring for Remote Tree Work jobs? Cities in Colorado with the most Remote Tree Work job openings:
Principal AI/ML Engineer (Large Language Model) (TS/SCI) {S}
Careers - Stratagem - Make a Lasting ImpactAurora, CO • Remote
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted yesterday
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:
The Principal AI/ML Engineer will support the development of AI/ML algorithms in a multitude of disciplines from object detection/classification, natural language processing, reinforcement learning, and large language models.
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:
Lead and mentor a multidisciplined team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
- Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as tasking collections, identifying gaps in collection plans, analyzing patterns of life, and more.
- Fine tune foundation models and building adaptors for new applications (llama factory, PEFT)
- Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate)
- Build custom applications with LLM frameworks such as LangChain, DSPy
- Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
- Analyze large multi-domain datasets such as images, text and/or graph data, to identify statistically relevant features to build models that provide analysts with actionable data
- Review relevant publications to understand and apply cutting edge concepts to defense and commercial applications
- Interface with both internal and external leadership to communicate technical status
Required Qualifications:
- BS in machine learning, computer science, mathematics, or related fields.
- 10+ years of experience, preferably in software development or as a data scientist with 2+ years of building LLM applications using some of the following:
- Fine-tuning foundational models
- Steering Techniques (e.g Sparse auto encoders, representation tuning)
- Building adapters to use foundational models (e.g. PEFT, llama factory)
- Prompt engineering techniques / Inference time techniques (e.g. chain of thought, tree of thoughts, etc.)
- Using Retrieval Augmented Generation techniques to populate and query vector databases (e.g. Weaviate, pinecone)
- Using LLM Frameworks (e.g. LangChain, DSPy)
- Using AI APIs ( e.g AWS Bedrock, OpenAI)
- Using LLM deployment frameworks (eg llama.cpp, vllm, tgi)
- Developing UIs with ReAct
- Fine-tuning foundational models
- 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 with Python and data science / machine learning libraries (e.g. PyTorch, TensorFlow, Keras, OpenCV, NumPy, Pandas, Polars, scikit-learn, etc.)
- Active TS/SCI U.S. Government Security Clearance
Preferred Qualifications:
- MS or PhD in machine learning, computer science, mathematics, or related fields.
- Experience leading an interdisciplinary team of researchers and software developers
- Experience with any of the following Computer Vision domains:
- Large Language Models and experience identifying ways to incorporate them into new areas and applications
- Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
- Object detection algorithms such as YOLO and Faster-RCNN
- Natural Language Processing algorithms such as BERT
- Generative Adversarial Networks and Variational Autoencoders
- Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines
- Applying clustering algorithms and/or deep neural networks to real life problems
- Implementing tracking and pattern-of-life algorithms
- Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
- Experience with Computer Vision libraries such as OpenCV, Nerfstudio, FiftyOne, etc.
- Experience with Linux
- Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
- Experience with any of the following additional languages: Java, C++, Rust, Go, and/or C#
- Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
- Experience with implementing tracking and pattern-of-life algorithms
- Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
- Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.)
- Experience shaping and writing proposals
Pay Range: $180,000 - $210,000
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 330 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.