Position Overview:This position is for a Staff AI/ML Engineer looking for new challenging problems. You should have experience working in research teams prototyping and developing AI/ML algorithms. You will support the development of AI/ML algorithms in a multitude of disciplines including object detection/classification, natural language processing, time series prediction/classification, 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:- Implement machine learning algorithms as part of a small interdisciplinary team
- Analyze large multi-domain datasets including images, text, time series, and graph data
- Review and apply cutting-edge research publications
- Create technical documentation and user guides
- Understand training and deployment pipelines including AWS services
- Provide training and mentoring to team members
Required Qualifications:- B.S. in machine learning, computer science, mathematics, or related field
- 8+ years of AI/ML development experience
- Proficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy, Polars
- Experience with supervised and unsupervised learning
- Experience with deep learning architectures
- Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket)
- Active TS/SCI U.S. Government Security Clearance
Preferred Qualifications:- M.S. or PhD in relevant technical field
- Experience leading interdisciplinary teams
- Experience with MCP, Microsoft Agent Framework, HuggingFace, LangChain, OpenCV
- Experience with GenAI Ops techniques (e.g. LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix)
- Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning
- Linux and AWS experience
- Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, CuDF, etc.
- Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
- Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
Location: King of Prussia, PASituated 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
- 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 [redacted] or contact [redacted] 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.
