Nerdleveltech is hiring: Staff Machine Learning Engineer (L4) in San Francisco

About the job

Twilio is undergoing a major business transformation powered by Enterprise AI, supported by a dedicated engineering team that builds the foundations for a unified, secure, and scalable operating system across GTM functions (Sales, Support, Operations, etc.) as well as internal non‑GTM functions (Finance, HR, Legal, etc.). Our platform is designed to support a multitude of business functions by deploying intelligent agentic solutions that automate complex workflows and deliver unprecedented user experiences.

We’re building the future of work at Twilio, and this role offers the opportunity to be at the forefront of enterprise AI innovation. This role focuses specifically on transforming how Twilio’s Customer Support organization operates through AI‑powered tools and agentic products.

As a Staff Machine Learning Engineer within Enterprise AI Engineering, you will be instrumental in developing supervised machine learning (ML) propensity models as well as state‑of‑the‑art GenAI/LLM‑powered applications. Your solutions will cater to the dynamic needs of Twilio’s diverse verticals and our extensive customer base.

Responsibilities

• Develop and deploy AI/ML models leveraging NLP, recommendation systems, and GenAI‑powered applications to production environments, ensuring they meet the diverse needs of Twilio’s verticals and customer base.


• Collaborate across teams, working closely with product, program, analytics, and engineering to implement and refine machine learning models that drive business outcomes.


• Utilize our technical stack—Python, SQL, R, AWS (SageMaker, Lambda, S3, Kendra), MySQL, and libraries such as Pandas, NumPy, scikit‑learn, XGBoost, matplotlib, and Keras—to develop robust and scalable AI/ML solutions.


• Integrate enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy.


• Apply knowledge of large language models (LLMs) such as OpenAI’s GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative GenAI use cases and solutions.

Qualifications

Twilio values diverse experiences and encourages all who meet the required qualifications to apply.

• 5+ years of applied ML engineering experience.


• Experience building and deploying machine learning models using NLP techniques and GenAI‑powered applications to production.


• Strong collaboration skills working with product, program, analytics, and engineering teams to implement and refine predictive models.


• Proficiency with Python, SQL, R, AWS services (SageMaker, Lambda, S3, Kendra), MySQL, and libraries such as Pandas, NumPy, scikit‑learn, XGBoost, matplotlib, and Keras.


• Experience integrating enterprise data sources such as Salesforce and Zendesk to improve model accuracy.


• Familiarity with LLMs (OpenAI, Claude, Gemini, Llama, Whisper, Groq) and ability to develop GenAI use cases and solutions.

Desired:

• Experience with LLM fine‑tuning, few‑shot prompting, and prompt engineering.


• Familiarity with RAG, agents, and large language model frameworks.


• Experience with Python micro‑frameworks such as LlamaIndex, LangChain, Streamlit, Gradio, FastHTML, Chainlit.


• Research background with published papers at top‑tier peer‑reviewed conferences or journals.

Location

This role will be remote but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.

Travel

Occasional travel may be required to participate in project or team in‑person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay; generous time off; ample parental and wellness leave; healthcare; a retirement savings program; and more. Offerings vary by location.

Compensation

The estimated pay ranges for this role are as follows:

• Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C.: $188,240 – $235,300.


• Based in New York, New Jersey, Washington State, or California (outside the San Francisco Bay area): $199,280 – $249,100.


• Based in the San Francisco Bay area, California: $221,360–$276,700.


• Eligible for Twilio’s equity plan and corporate bonus plan.

EEO Statement

Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E‑Verify program in certain locations, as required by law.