Job Type: Regular
Position: Machine Learning Engineer
Research Software Engineers at RAND work in a multidisciplinary environment, closely collaborating with researchers and analysts from various 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. They will also have experience training and fine-tuning models and 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 2 years of relevant experience required. At least 5 years of relevant experience preferred.
- At least 1 year of 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.
Security Clearance
Ability to obtain and maintain at least a Secret U.S. government security clearance is required. U.S. citizenship is required for a U.S. government security clearance.
Coding Sample Required
Applicants will be required to provide code sample(s) related to their work uploaded as a writing sample.
Location
Santa Monica, CA; Washington DC; or Pittsburgh, PA
Salary Range
$85,700 - $152,400
- Level II: $85,700 - $127,500
- Level III: $100,100 - $152,400
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. Successful candidates will be offered employment in a specific title, as determined by the candidate's education and experience. The salary range includes base pay plus RAND's sabbatic pay (which provides additional compensation above base pay when vacation is taken). 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
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