Machine Learning (ML) Engineering Specialists Full-time

Job Description

Artificial intelligence is transforming the way we save and improve lives. The rising use of machine learning and advanced analytics brings great potential as well as risks of unintended consequences. Effectively scaling AI from bench to production rests on doing the right thing, with ethical policies, responsible development, and implementations that respect people, fairness, inclusion, and prevent harm.

As an AI Ethics and Governance Specialist, you will be part of our diverse and dynamic AI Ethics and Governance team working on AI risk assessment and governance processes in the organization.

You will be part of a key global project, working alongside subject matter experts and honing your skills and expertise in responsible AI. We are a highly collaborative team and our work is inherently cross-functional. You will have the chance to meet and work with stakeholders across the organization including senior leaders and have exposure to projects in human and animal health, business operations, supply chain management, clinical research, and IT.

Be a pioneer in the rapidly growing and recognized field of Responsible AI. In this role, you will have the opportunity to explore and work on our team’s multiple focus areas depending on your interest and expertise:

Primary Responsibilities

• Find and Mitigate Risks in AI Projects. Work with business and technical stakeholders to identify and assess potential risks and impacts, recommend appropriate mitigations, and prevent harm.
• Support development of Trust and Safety program for generative AI and general purpose AI. Develop content filtering and user guidelines, community engagement and training initiatives.
• Implement Explainable AI (XAI). Test and audit data sets, models and AI solutions for bias, fairness, and explainability using open-source and enterprise tools.
• Support development and implementation of policy processes and further the field of AI ethics. Be involved with building a safe, responsible, and ethical AI ecosystem in the organization and external industry.
• Research and stay on top of AI developments, best practices, and regulatory changes. Experience opportunities to develop guidance and contribute to external initiatives.

If you would describe yourself as:

• Self-motivated and driven to learn new topics and develop your domain expertise; Finds excitement in working at the bleeding edge in an emerging field.
• Passionate about building a fairer and more inclusive AI ecosystem with respect for all; Has a keen interest in AI ethics, responsible AI, including policy, legal or regulatory landscape for emerging technologies, data privacy, or intellectual property.
• Enjoys working in a diverse and cross-functional team; Has good communication and interpersonal skills.

Education Qualification:

• High School Diploma

Experience and Skills:

• Experience in AI ethics and responsible AI, with in-depth knowledge of AI, ML, Generative AI and the emerging technology landscape.
• Experience in trust and safety, risk management, governance or related.
• Ability to communicate and express technical viewpoints to senior stakeholders with succinctness and clarity
• 2+ years relevant working experience
• Qualifications in analytical and technology disciplines, such as Engineering, Sciences, Mathematics, Computer Science or in Law, Philosophy or Psychology are encouraged to apply. Candidates are evaluated on a case-by case basis. Candidates with relevant experience are encouraged to apply.

Desired Experience and Skills:

• Hands-on code development experience in Data Science, Machine Learning, Generative AI (Python, scikit-learn, pandas, numpy, Dataiku, Databricks, Amazon Sagemaker, generative models / LLMs, synthetic data, etc.)
• Knowledge of XAI (SHAP, LIME, etc.)
• Knowledge of law, IP, policy, regulatory processes, or industry standards in AI or related fields
• Domain knowledge in pharmaceutical business areas such as research, clinical, manufacturing, commercial and corporate functions is highly regarded

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights

EEOC GINA Supplement

Pay Transparency Nondiscrimination

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday – Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

The Company is required to provide a reasonable estimate of the salary range for this job in certain states and cities within the United States. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.

Expected US salary range:
$83,100.00 – $130,900.00

Available benefits include bonus eligibility, long term incentive if applicable, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. A summary of benefits is listed here.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:
Regular

Relocation:
No relocation

VISA Sponsorship:
No

Travel Requirements:
No Travel Required

Flexible Work Arrangements:
Hybrid

Shift:
1st – Day

Valid Driving License:
No

Hazardous Material(s):
No

Required Skills:
Data Engineering, Design Applications, Information Security, Machine Learning, Software Development, Software Development Life Cycle (SDLC), System Designs, Systems Integration, Testing

Preferred Skills:

Job Posting End Date:
12/27/2024
*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.