Machine Learning Engineer, Twilio
$150-224k
Actual Salary range is dependent on location.
More information about location
Cloud communications software
Be an early applicant
Cloud communications software
1001+ employees
Be an early applicant
$150-224k
Actual Salary range is dependent on location.
More information about location
1001+ employees
Company mission
To enable innovators across every industry - from emerging leaders to the world’s largest organisations - to reinvent how companies engage with their customers.
Role
Who you are
- 5+ years of data engineering, applied ML & software engineering experience
- Develop and Deploy AI pipelines & models: Build and deploy data pipelines & machine learning models leveraging NLP techniques and GenAI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base
- Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes
- Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sagemaker, Lambda, S3, Kendra, OpenSearch), MySQL, Airtable, Pinecone and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions
- Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy
- Harness the Power of LLMs: 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
Desirable
- Familiarity with using LLMs (OpenAI, Claude, Gemini, Llama etc.), RAG, Agents, Model Fine-tuning, Few-shot prompting, Prompt Engineering
- Experience with Python-specific frameworks such as Llamaindex, Langchain, Streamlit, Gradio, FastHTML, Chainlit etc
What the job involves
- Twilio is experiencing rapid growth and is seeking a Machine Learning Engineer with a strong Data Engineering, Machine Learning background to expand and enhance our Efficiency Engineering team's AI function
- This team is responsible for developing cutting edge solutions leveraging AI & Data Science for external and internal customers
- As a Machine Learning Engineer within Efficiency 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
- This role offers an exciting opportunity to harness the power of advanced machine learning technologies to drive innovation and efficiency
- As a member of this team, you will have the opportunity to work on groundbreaking projects that directly impact the efficiency and success of our customers
- You will collaborate with talented professionals who are as driven and enthusiastic about AI and Machine Learning as you are
- Your contributions will be crucial in shaping the future of AI at Twilio, and you will have the support and resources needed to innovate and excel
- Develop and Deploy AI/ML Models: Build and deploy machine learning models by leveraging NLP, recommendation systems & GenAI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base
- Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes
- Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sagemaker, Lambda, S3, Kendra, OpenSearch), MySQL, Airtable, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions
- Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy
- Harness the Power of LLMs: 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
Application process
- Applications for this role are intended to be accepted until January 25, 2025 but may change based on business needs
Our take
Traditionally, it has been difficult for businesses to establish communications systems in-house. Twilio was founded from frustration with this expensive and cumbersome process, providing easy-to-use APIs to let businesses send and receive telephone and text communications.
From these beginnings, the company has expanded through acquisitions and product development to provide a suite of services around market data and customer engagement. It is now a market leader in this space, and has developed a customer base of more than 150,000 businesses including enterprise brands such as Deliveroo, Duolingo and Toyota.
With that said, aggressive expansion and lack of maturity in some of its products has impacted the company's efficiency, and like many of its peers it has been forced to restructure heavily to remain competitive. Coming out of this restructuring, the company will focus on profitability, streamlining decision making and R&D to put itself in good stead for future success.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Jul 2015
$130m
SERIES E
Jun 2013
$70m
SERIES D
Total funding: $250.7m
Company benefits
- Generous annual time off in all countries
- Comprehensive health programs
- Programs to help our employees plan for their retirement needs
- Generous maternity, paternity, and adoption leaves, as well as family medical care leave
- Build and present a Twilio app to earn your Twilio track jacket and receive $30 per month for e-books for continued learning and education
- Variety of snacks, drinks, and catered meals in each of our locations
- Work from home opportunities
Company values
- We are Builders: We love hard problems and believe in the indomitable power of people's ability to create a better world through ingenuity and resourcefulness. We reject the “can’t be done” and believe bold ideas and fearless iteration can resolve the most challenging problems for our customers and the world they operate in
- We are Owners: We take accountability and see things through. We take the long view, sweat the details, and think about how our work makes Twilio better every day. We recognize that we and others do our best work when we feel both empowered and accountable for outcomes
- We are Curious: We see ourselves as works in progress. We know that we don’t have all the answers, humbly seek the truth, and strive to get better every day. As individuals, as a company, and in our products, we seek continual progress over perfection and acknowledge shortcomings as a matter of fact. Progress comes not from avoiding mistakes or hard truths, but in learning from them
- We are Positrons: A positron is a positively charged electron. We are genuinely excited to serve and help others. We believe that positive energy is contagious and caring is critical. We seek to be bright spots for the people around us in every interaction, and we stand up and work for what we believe is good and right for our customers, our company, our communities, and the world at large
Company HQ
Financial District, San Francisco, CA
Articles
Leadership
Khozema Shipchandler
(CEO, not founder)Has been at the company since 2018, beginning as CFO then working as COO, President of Communications then CEO. Prior to this, spent 20 years at GE, ultimately as CCO of GE Digital.
People progressing
Joined as a Business Development Representative and promoted to Team Lead Account Representative after 2 years. After four more promotions, Gilmore now works as Senior Manager of Strategic Accounts.
Diversity, Equity & Inclusion at Twilio
- Building diverse teams: We thrive when we welcome a diversity of identities, experiences, and perspectives to the team. We know that building diverse teams requires us to dismantle barriers and address the opportunity gap, and we are driving programs to do just that.
- Creating equitable experiences: Building more diverse teams is only part of the equation. It is equally important that we promote equity within our workplace as well
- Cultivating inclusive environments: Every team member plays a role in fostering an environment that is psychologically safe and inclusive. This is a significant responsibility for our managers and leaders, who hold influence and power. Therefore, we are driving educational and engagement opportunities to activate inclusive leadership behaviors throughout the organization
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