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Manager, Applied Scientist

Morgan, Lewis & Bockius LLP
parental leave, paid time off, sick time, 401(k)
United States, California, San Francisco
1 Market Street (Show on map)
Jan 16, 2025
The Manager, Applied Scientist design, develop, and optimize AI solutions that enhance the firm's legal services and internal operations.

This position will reside in either our Chicago, Philadelphia or San Francisco office with a hybrid in-office/remote working schedule.

Responsibilities:

  • Collaboration with Stakeholders: Partner with senior legal professionals to develop innovative AI solutions for niche practice or industry areas; translate business needs into technical requirements for AI projects.
  • AI Systems Design: Architect scalable, secure, and high-performance AI solutions tailored to the firm's needs, including machine learning models, natural language processing tools, and automation systems.
  • Model development: Train and evaluate machine learning models, including fine-tuning of LLM, using state-of-the-art models and architectures, both cloud and on prem; design and execute experiment plans.
  • Full stack development: Development of simple demos and PoC for AI models using a variety frontend and backend tooling.
  • Infrastructure Development: Build and maintain the technical infrastructure required for the deployment of AI technologies, ensuring integration with existing legal and business systems.
  • Documentation and Training: Write high-quality documentation, experiment plans, and provide technical training to relevant stakeholders.
  • Mentoring: Oversee and encourage the work of other AI Lab members.

Experience and Qualifications:

  • Educational Background: Bachelor's or advanced degree in computer science, AI, data science, engineering, or a related field.
  • Professional Experience: Minimum of 5 years of experience in AI, machine learning, data science, or software development, with a proven track record of designing and deploying AI solutions.
  • Technical Expertise: Proficiency in AI technologies, including popular machine learning frameworks, natural language processing (NLP), computer vision (CV).
  • Systems Architecture: Understanding of cloud computing and data architecture, with experience designing systems that support large-scale AI applications.
  • Programming Skills: Strong programming skills in Python and SQL; JavaScript nice-to-have.
  • Cloud Platforms: Experience with cloud-based AI solutions (e.g., AWS, Google Cloud, Azure) and managing AI/ML infrastructure in cloud environments.
  • Data Management: Experience in data management, data engineering, and data security practices to support AI initiatives, including experience with big data platforms and technologies (e.g., Hadoop, Spark).
  • AI Model Deployment: Experience deploying and managing AI models in production environments, including version control, monitoring, and continuous improvement.
  • Collaboration Skills: Strong ability to work cross-functionally, translating business needs into technical specifications and delivering solutions that align with strategic objectives.
  • Problem-Solving Abilities: Strong analytical and problem-solving skills, with the ability to diagnose technical issues, troubleshoot, and optimize AI systems.
  • Security Focus: Knowledge of data privacy principles and security best practices, ensuring AI systems comply with legal and regulatory standards.
  • Innovation-Driven: Passion for staying current with the latest developments in AI technologies and finding creative solutions to business challenges.

For positions in Chicago, IL, the salary range for this job posting is: $109,300.00 - $174,775.00.

The base salary or hourly wage range for this position will be determined during the interview process and will vary based on multiple factors, including but not limited to prior experience, relevant expertise, current business needs, and market factors. The final salary or hourly wages offered may be outside of this range based on other reasons and individual circumstances. Additionally, salary or hourly wages may be only part of the total compensation package. The total compensation package for this position may also include a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, the employee will be in an "at-will position" and the firm reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, firm or individual department/team performance, and market factors.

For positions in San Francisco, CA, the salary range for this job posting is:

$124,200.00 - $198,600.00.

The base salary or hourly wage range for this position will be determined during the interview process and will vary based on multiple factors, including but not limited to prior experience, relevant expertise, current business needs, and market factors. The final salary or hourly wages offered may be outside of this range based on other reasons and individual circumstances. Additionally, salary or hourly wages may be only part of the total compensation package. The total compensation package for this position may also include a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, the employee will be in an "at-will position" and the firm reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, firm or individual department/team performance, and market factors.

Morgan, Lewis & Bockius LLP is committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, veteran status, gender identity, genetic information, or any other characteristic protected by federal, state, or local law.

Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment qualified applicants with arrest and conviction records.

California Applicants: Pursuant to the California Consumer Privacy Act, the following link contains the Firm's California Consumer Privacy Act Privacy Notice for Candidates which explains the categories of personal information that we collect and the purposes for which we use such personal information. CCPA Privacy Notice for Candidates

Morgan Lewis & Bockius LLP is also an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

If you are interested in applying for employment with Morgan Lewis and need special assistance or accommodation to use our website or to apply for a position, please call or email the following contacts:

  • Professional Staff positions: Please call 888.534.5003 or email talent.acquisition@morganlewis.com

Morgan, Lewis & Bockius, LLP reasonably accommodates applicants and employees who need them to perform the essential functions of the job because of disability, religious belief, or other reason protected by applicable law. If you believe you need a reasonable accommodation during the application process, please contact Talent Acquisition at talent.acquisition@morganlewis.com.

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