Machine Learning Systems Engineer (1 Year Fixed Term)

DESIRED QUALIFICATIONS:

• ·       3+ years of experience in designing, managing and running large-scale compute infrastructure in the context of machine learning
• ·       Experience with containerization technologies like Docker and orchestration platforms like Kubernetes or SLURM
• ·       Proficiency in scripting languages such as Python, Bash, or PowerShell
• ·       Strong knowledge of Linux/Unix systems administration
• ·       Ability to work effectively in a collaborative, multidisciplinary environment
• ·       Familiarity with modern distributed big data tools and pipelines such as Apache Spark, Arrow, Airflow, Delta Lake, or similar
• ·       Familiarity with machine learning frameworks like PyTorch or JAX
• ·       In-depth experience with cloud computing resources
• ·       Thorough knowledge of GPU-based HPCs in the context of machine learning.

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.

Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. 

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.