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Freelance Computer Vision Deep Learning Engineer Jobs in Pennsylvania

$105K - $200K/yr

Computer programming in one or more of the following: Python, R, Java, C++, or Matlab * Ability to ... Git, open source scientific computation, computer vision, modeling, or machine learning tools

... growing ML engineering teams * Deep expertise in computer vision: object detection, image ... MS or PhD in Computer Science, Machine Learning, or a related field (strong industry track record ...

... growing ML engineering teams * Deep expertise in computer vision: object detection, image ... MS or PhD in Computer Science, Machine Learning, or a related field (strong industry track record ...

Senior Software Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... deep learning, and natural language processing (NLP) and LLM. • Proficiency in Python and ... learning, NLP, computer vision) and algorithms is crucial. • Proficiency in Python is essential.

... or computer vision systems • 5+ years managing and growing ML engineering teams • Deep ... Learning, or a related field (strong industry track record considered in lieu of advanced degree ...

... DOC INGENIEUR-E DEEP LEARNING F/H Contrat Post Doc Duree du contrat 12 a 18 mois Fourchette de ... Vision transformer et les approches multimodales (ex : ImageBind). Vous etes a l'aise avec le stack ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

RIT Solutions, Inc. is seeking an experienced Data Engineer to join their AI/ML Engineering team ... The ideal candidate will possess a robust background in traditional machine learning, deep learning ...

Strongfoundation in machine learning, deep learning, and natural language processing (NLP) and LLM ... g., supervised/unsupervised learning, NLP, computer vision) and algorithms is crucial.

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Senior Machine Learning Engineer - Mission Innovation Lab

Software Engineering Institute | Carnegie Mellon University

Pittsburgh, PA • On-site

$101K - $139K/yr

Full-time

Re-posted 3 days ago


Job description

Job Summary:
Carnegie Mellon University's Software Engineering Institute is seeking a Senior Machine Learning Engineer for their Mission Innovation Lab. The role involves leading applied-research projects to develop mission-scale AI capabilities for defense-focused missions, while collaborating with researchers and mentoring junior team members.
Responsibilities:
• Design, implement, and evaluate state‑of‑the‑art ML models (computer‑vision, NLP, planning, etc.) using frameworks such as TensorFlow, PyTorch, Torch, or Caffe.
• Build and maintain robust data pipelines, ETL processes, and backend services in Python, C/C++, and Java.
• Lead rapid‑prototyping efforts, translate research results into operational prototypes, and test for performance, robustness, and security.
• Define and refine DevSecOps practices for ML (model registries, containerized deployment, continuous integration/continuous delivery, security scanning).
• Mentor junior team members, collaborate with researchers, government customers, and other engineers, and contribute to technical strategy for the lab.
Qualifications:
Required:
• B.S. in Computer Science, Electrical Engineering, Statistics, or related field with ≥10 years of experience; OR M.S. with ≥8 years; OR Ph.D. with ≥5 years of relevant experience.
• Ability to obtain and maintain an active Department of War security clearance.
• You must be able and willing to work onsite 5 days per week at an SEI office in either Pittsburgh, PA or Arlington, VA.
• Strong experience in one or more programming language such as Python, C/C++, and Java; comfortable developing production-grade code and APIs.
• Solid understanding of ML theory, statistical learning, and common algorithms.
• Hands-on experience with TensorFlow, PyTorch, Torch, Caffe, or similar deep-learning libraries.
• Familiarity with CI/CD pipelines, container orchestration (Docker/Kubernetes), model versioning, and security-focused tooling.
Preferred:
• Proven track record of independent applied-research projects that resulted in demonstrable prototypes or operational capabilities.
• Publications or open-source contributions in AI and ML, especially in adversarial or robust ML.
• Experience working on defense or other high-impact government programs.
• Ability to quickly learn emerging AI and ML technologies and translate them into mission-relevant solutions.
Company:
We conduct cutting-edge research and development that accelerates the transition of technology to the Department of War (DoW), delivering measurable impact in support of the national security mission. Founded in 1984, the company is headquartered in Pittsburgh, USA, with a team of 501-1000 employees. The company is currently Late Stage.