DESIRED QUALIFICATIONS:

Key qualifications:
Master's degree in Computer Science or related field with 2+ years of relevant industry experience, OR Bachelor's degree with 4+ years of relevant industry experience
2+ years of practical experience in implementing and optimizing machine learning algorithms with distributed training using common libraries (e.g. Ray, DeepSpeed, HF Accelerate, FSDP)
Strong programming skills in Python, with expertise in machine learning frameworks like TensorFlow or PyTorch
Experience with orchestration platforms
Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and their machine learning services
Familiarity with MLOps platforms (e.g. MLflow, Weights & Biases)
Strong understanding of software engineering best practices, including version control, testing, and documentation

Preferred qualifications:
Familiarity with training, fine tuning, and quantization of LLMs or multimodal models using common techniques and frameworks (LoRA, PEFT, AWQ, GPTQ, or similar)
Familiarity with modern big data tools and pipelines such as Apache Spark, Arrow, Airflow, Delta Lake, or similar
Experience with AutoML and Neural Architecture Search (NAS) techniques
Contributions to open-source machine learning projects or libraries

EDUCATION & EXPERIENCE (REQUIRED):

Bachelor's degree and three years of relevant experience, or combination of education and relevant experience.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
* Thorough knowledge of the principles of engineering and related natural sciences.
* Demonstrated project management experience.

CERTIFICATIONS & LICENSES:

None

PHYSICAL REQUIREMENTS*:

* Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds.
* Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully.
* Rarely kneel/crawl, climb (ladders, scaffolds, or other), reach/work above shoulders, use a telephone, writing by hand, sort/file paperwork or parts, operate foot and/or hand controls, lift/carry/push/pull objects that weigh >40 pounds.

* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

WORKING CONDITIONS:

* May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise > 80dB TWA, Allergens/Biohazards/Chemicals /Asbestos, confined spaces, working at heights ?10 feet, temperature extremes, heavy metals, unusual work hours or routine overtime and/or inclement weather.
* May require travel.

The expected pay range for this position is $126,810 to $151,461 annually.

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

Stanford is an equal employment opportunity and 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, protected veteran status, or any other characteristic protected by law.