Machine Learning Engineer - Level 1
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Regular
Machine Learning Engineer - Level 1
Research Software Engineers at RAND work in a multidisciplinary environment, closely collaborating with researchers and analysts from a variety of domains. The Machine Learning Engineer will work across multiple research areas developing and maintaining custom applications and data pipelines featuring generative AI, natural language processing, LLMs, and other foundation models. The successful candidate will have a strong background in machine learning, including a mathematical, conceptual, and computational understanding of deep learning algorithms and architectures. The successful candidate will also have experience training and fine-tuning models and have experience building machine learning pipelines that leverage LLMs and other foundation models.
Basic Qualifications
Experience
Education
Coding Sample Required
Location
Santa Monica, CA; Washington D.C.; or Pittsburgh, PA
Security Clearance
Must meet eligibility requirements for access to U.S. government classified information.
Salary Range: $73,700 - $109,400
RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidate's work experience, education/training, skills, expertise; and internal equity.This position is overtime eligible. In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more.
Equal Opportunity Employer: race/color/religion/sex/sexual orientation/gender identity/national origin/disability/vet
Regular
Machine Learning Engineer - Level 1
Research Software Engineers at RAND work in a multidisciplinary environment, closely collaborating with researchers and analysts from a variety of domains. The Machine Learning Engineer will work across multiple research areas developing and maintaining custom applications and data pipelines featuring generative AI, natural language processing, LLMs, and other foundation models. The successful candidate will have a strong background in machine learning, including a mathematical, conceptual, and computational understanding of deep learning algorithms and architectures. The successful candidate will also have experience training and fine-tuning models and have experience building machine learning pipelines that leverage LLMs and other foundation models.
Basic Qualifications
- Strong knowledge of deep learning and generative artificial intelligence
- High-level proficiency in Python
- Experience in TensorFlow and/or PyTorch
- Experience with LangChain, LlamaIndex, or similar frameworks
- Experience with techniques like fine-tuning and retrieval augmented generation
- Background in natural language processing algorithms
- Cloud computing experience
Experience
- At least 1 year of relevant experience required. At least 2 years of relevant experience preferred.
- At least 1 year experience in generative AI required.
Education
- BA/BS in Computer Science, Engineering, Statistics, or related quantitative field required.
- MA/MS in Computer Science, Engineering, Statistics, or related quantitative field strongly preferred.
Coding Sample Required
- Applicants will be required to provide Code sample(s) -related work uploaded as a writing sample.
Location
Santa Monica, CA; Washington D.C.; or Pittsburgh, PA
Security Clearance
Must meet eligibility requirements for access to U.S. government classified information.
Salary Range: $73,700 - $109,400
RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidate's work experience, education/training, skills, expertise; and internal equity.This position is overtime eligible. In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more.
Equal Opportunity Employer: race/color/religion/sex/sexual orientation/gender identity/national origin/disability/vet
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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