Sr. Machine Learning Knowledge Engineer

About the Role

We're looking for a creative and versatile Senior Machine Learning Knowledge Engineer to join our team. You'll bring a background in machine learning or AI data analysis and participate in a variety of projects including building and refining taxonomies, classifying online content, analyzing search behavior, and researching salaries and responsibilities for a wide range of occupations. 

You will be part of the team that creates and curates ML model and generative AI training data, and measures and improves the quality of  products. We partner with product managers, machine learning scientists, and a team of data annotators to create models that improve relevance, generate classifications and improve user experience on our platforms. 

What You’ll Do:

• Work with product managers to understand product requirements and use cases, determine whether ML or AI is an appropriate solution, and coordinate project execution and resource management
• Become a subject matter expert on various topics related to careers and social media discussion by diving deep into data
• Curate data sets for model training and development with attention to mitigating bias
• Create and maintain taxonomies as needed for model development using industry best practices
• Audit and refine existing taxonomies as needs and use cases change
• Design and operationalize annotation and model evaluation tasks, including creating guidelines, auditing annotation work, and adhering to best practices
• Provide data-driven analysis and insights from data and evaluations and offer solutions  to improve the quality of our ML and AI models
• Advocate for the importance of human-in-the-loop during model development and explain why and where this is necessary to product stakeholders
• Work autonomously with minimum direction.
• Engineer prompts to guide generative AI to produce desired outputs in context, and evaluate generative AI output
• Automate operations and perform data analysis using python and SQL

What You’ll Bring:

• A commitment to add to our culture of DEI
• 5+ years of experience focusing on natural language processing, taxonomy and ML model analysis
• A data-driven analytical mindset, and the ability to communicate complex data trends in effective ways to product stakeholders
• Solid understanding of the ML model development life cycles
• Experience overseeing teams of human data labelers, creating annotation guidelines, and performing audits and quality control for data annotation teams
• Experience working with data from social media platforms
• An appreciation for the nuances of human language and comfort with navigating ambiguity in syntax, semantics and categorization
• A background in linguistics, library science, or information retrieval
• Working knowledge of Python, SQL, and command line operations
• Familiarity with occupational taxonomies, employee benefits, and career industries

Compensation and Benefits

Base salary range*: $122,100.00 - $162,200.00

Glassdoor base salaries are targeted to the market 75th percentile for technical roles and the 65th percentile for non-technical roles. In other words, 65-75% of comparable organizations in our industry will pay less.

Annual bonus target**: 10%

**Bonuses are paid in 6-month intervals, aligning with bi-annual performance reviews

Generous Restricted Stock Units (RSU):

***Restricted Stock Units (RSU) are awarded at hire and may be refreshed annually. Additionally, as a pay-for-performance company, there are additional RSU grant awards for the very top performers.

You can learn more about our compensation philosophy here and see salary ranges for all Glassdoor jobs here.

Health and wellness: 100% employer-paid premiums for employee medical, dental, vision, life, short and long-term disability and select well-being programs, along with 80% employer-paid premiums for all dependents.

• Generous paid time-off programs for birthing and non-birthing parents are provided, along with additional company-sponsored leaves such as paid injury/illness leave, family emergency leave, compassionate leave, and domestic & sexual violence leave.

• Coverage begins at the start of employment. After 48 months of continuous employment, 100% of all premiums for you and your dependents can be employer-paid!

• Wellness programs to support mental, physical, and financial health, such as paid career coaching & mental health therapy, financial coaching, subsidized fitness & wellness appointments, HSA, FSA, commuter benefits, fertility & pregnancy support, employee perks and discounts, legal assistance program, gender-affirming care relocation benefit and work-from-home monthly allowance.

Work/life balance: Open Paid Time Off policy, in addition to 15-20 paid company holidays/year.

Investing in your future: 401(k) plan with a company match up to $5,000 per year, subsidized fertility & family planning services and discounted legal assistance services.