Large Language Model AI/ML Engineer {S}

Large Language Model AI/ML Engineer {S} - LARGE002494 DESCRIPTION/RESPONSIBILITIES: Position Overview: This position is for a Large Language Model AI/ML Engineer looking for new challenging problems. This is an opportunity to be at the forefront of applying Large Language Models (LLMs) to new customers and new challenges. Responsibilities: Our ideal candidate is an experienced professional who has researched and developed AI/ML algorithms and deployed these algorithms to operational environments. This candidate will have the opportunity to apply their knowledge in AI/ML to solve a broad set of problems across multiple domains. Specifically, this candidate will be working on new opportunities to explore the application of LLMs to our customer's missions. This candidate will be joining a team of talented researchers and software developers with the opportunity to lead and mentor junior engineers. As an AI/ML Engineer, your responsibilities include: * Member of a team consisting of developers and researchers to implement AI/ML algorithms to solve a broad set of challenges for our various customers * Analyzing 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 * Using cloud services to train and deploy ML models * 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: * 2 years of experience, preferably in software development or as a data scientist * Experience using Large Language Models and identifying ways to incorporate them into new areas and applications * Effective communicator with the ability to write and present technical reports * Experience with Python and any of the following Python data science / machine learning libraries: Pandas, scikit-learn, TensorFlow, Keras, Pytorch * Experience with one or more of the following: * Applying unsupervised and/or supervised machine learning techniques * Applying and/or developing algorithms based in statistical analysis + Analyzing large datasets and building models to perform inference * Ability to obtain and maintain a TS/SCI clearance to support our customers Preferred Qualifications: * MS or PhD in machine learning, computer science, mathematics, or relevant fields * Experience with any of the following AI/ML domains: * Object detection algorithms such as YOLO and Faster-RCNN * Natural Language Processing algorithms such as Transformers and RNNs * Applying Transformer-based architectures to domains in other areas outside of NLP such as computer vision * Generative Adversarial Networks and Variational Autoencoders * Reinforcement learning and familiarity with OpenAI Gym, RLlib, and Stable Baselines * Applying clustering algorithms and/or deep neural networks to real life problems * Implementing tracking & fusion and pattern-of-life algorithms * Experience with Machine Learning libraries and frameworks such as Hugging Face and LangChain * Experience with Linux * Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc. * Experience implementing computer vision algorithms * Experience with any of the following additional languages: C , Java, and/or C# * Experience implementing algorithms on the GPU in Python or C using CUDA and other CUDA libraries * 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 clearance Pay Range: $110,000 - $185,000 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. Location: This position is based out of ARKA's King of Prussia, PA campus. Situated less than an hour outside of Philadelphia and hosting the largest mall on the east coast, King of Prussia offers the urban feel sought in the city, while also giving opportunities to experience the beauty and history found only in Pennsylvania. 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 * Continuing education benefit up to $25,000/year for approved 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 40 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job. ITC & Security Clearance Requirements: This position requires the ability to obtain and maintain a US Government Security Clearance. The form contained in this link will provide insight into the information the government requests as part of the clearance process. Visa Restrictions: No visa sponsorship is available for this position. Employment with any of the ARKA Group companies in the US is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check and drug screen. ARKA Group L.P. is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other federally protected class.

Created: 2024-11-05