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Sr ML Eng, Gen AI Applications - Cambridge, United States - Harvard University
Description
64270BRAuto req ID:64270BRJob Code:
I0759P Applications Professional V
Department Office Location:
USA - MA - Boston Business Title:Senior Machine Learning Engineer, Generative AI ApplicationsSub-Unit: Salary Grade ) :059
Time Status:
Full-time Union:00 - Non Union, Exempt or Temporary Additional Qualifications and Skills:Other Required Qualifications:
Minimum of seven years' post-secondary education or relevant work experience
Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline.
Minimum of five years' software development experience with Python and SQL.
Minimum of three years' experience in developing and deploying machine learning systems into production in a cloud environment.
Minimum of two years' experience testing, maintaining, or launching software products and minimum of one year of experience with software design and architecture.
Experience working with a variety of relational SQL and NoSQL databases, big data tools: Hadoop, Spark, Kafka; a Linux environment; and at least one cloud provider solution (AWS, GCP, Azure).
Expertise in standard software engineering methodology, e.g., unit testing, test automation, continuous integration, code reviews, design documentation.
Other Preferred Qualifications:
Experience with neural networks, deep learning, and reinforcement learning, using frameworks such as TensorFlow.
Experience with Natural Language Processing (NLP), Large Language Models (LLMs), and/or Recommendation Engines.
Relevant working experience with Docker and Kubernetes.
Additional Information:
This role has the possibility of being a remote or hybrid position.
You must reside in one of the following states:
CA, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT or WA. There may be periodic visits to our Boston, MA based campus.
In a hybrid role, you are required to be onsite at our Boston, MA based campus a determined number of days per month.
Specific days and schedule will be determined between you and your manager.We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role.
A cover letter is required to be considered for this opportunity.
Harvard Business School will not offer visa sponsorship for this opportunity.
Culture of Inclusion:
The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences.
Explore more about HBS work culture here TransformationPre-Employment Screening:Criminal, Education, IdentityJob Function:
Information Technology School/Unit:Harvard Business School EEO Statement:We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law
Basic Qualifications:
Minimum of seven years' post-secondary education or relevant work experience
Position Description:
Be a pioneer in business, education, and global impact by joining the Harvard Business School Digital Transformation team - a "startup with assets," where you will have the chance to deploy cutting-edge digital- and emerging-technology education solutions.
Where else can you make a difference at the intersection of cutting-edge technology, world-class education, noble purpose, and timeless legacy?
As a Machine Learning Engineer, you will collaborate with data scientists, product managers, and data engineers to operationalize machine learning models in production and manage the lifecycle of artificial intelligence algorithms on a variety of domains.
Duties and Responsibilities:
Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems.
Automate machine learning pipelines and monitor and optimize machine learning solutions.
Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance tuning, and A/B testing.
Use your entrepreneurial spirit to identify new opportunities to optimize business processes, improve consumer experiences, and prototype solutions to demonstrate value.
Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation.
Write efficient and well-organized software to ship products in an iterative, continual-release environment.
Contribute to and promote good software engineering practices across the team.
Mentor and educate team members to adopt best practices in writing and maintaining production machine learning code.
Actively contribute to and re-use community best practices.
Monitor, debug, track, and resolve production issues.
Work with project managers to ensure that projects proceed on time and on budget.
Collaborate with Technical Product Managers to ensure proper tracking of algorithmic performance KPIs and prioritize performance improvements based on effort and impact.
Commitment to Equity, Diversity, Inclusion, and Belonging:Harvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive.
We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.
Benefits:
We invite you to visit Harvard's Total Rewards website ) to learn more about our outstanding benefits package, which may include:
Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.
Health and Welfare:
Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.
Work/Life and Wellness:
Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.
Retirement:
University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.
Tuition Assistance Program:
Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.
Tuition Reimbursement:
Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.
Professional Development:
Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.
Commuting and Transportation:
Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.
Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.
Work Format:
Hybrid (partially on-site, partially remote)
About Us:
Founded in 1908 as part of Harvard University, Harvard Business School ) is located on a 40-acre campus in Boston.
The School offers two full-time MBA and PhD programs, more than 175 Executive Education programs, and certificates and courses through Harvard Business School Online.
For more than a century, Harvard Business School faculty have drawn on their research, connection to practice, global expertise, and passion for teaching to educate leaders who make a difference in the world.
The School and its curriculum attract the boldest thinkers and the most collaborative learners who will shape the practice of business and entrepreneurship around the globe.
