Principal, Machine Learning Engineer

Posted 20 days agoViewed

💎 Seniority level: Principal, 10+ years

📍 Location: US

💸 Salary: 200000.0 - 290000.0 USD per year

🔍 Industry: Telecommunications and technology

🏢 Company: Twilio👥 5001-10000💰 $378,215,525 Post-IPO Equity over 3 years ago🫂 Last layoff about 1 year agoMessaging SMS Mobile Apps Enterprise Software Software

🗣️ Languages: English

⏳ Experience: 10+ years

🪄 Skills: PythonArtificial IntelligenceData AnalysisMachine LearningPyTorchTensorflowCollaborationPrototyping

10+ years hands-on experience in engineering with production-grade code.
3+ years of research experience in professional or academic settings.
Experience evaluating ML model performance and enhancements.
Collaboration experience with ML engineers, data scientists, or ML researchers.
Experience building and operating ML models in production.
Passion for emerging technologies and staying updated.
Proven ability to ship products to production and iterate based on customer feedback.
Exceptional collaboration skills.
Strong customer focus.
Excellent written and verbal communication skills.

Research new ML and AI technologies and tools.
Build prototypes to further research and test them with customers.
Collaborate with data scientists, engineers, and developers to integrate AI models into existing systems.
Work closely with product, design, and marketing teams to prioritize customer needs.
Acquire new technical skills rapidly in a fast-paced environment.
Influence discussions on AI integration within Twilio.
Embody experimentation practices in projects and research.

Posted about 2 months ago

📍 US

💸 200000.0 - 290000.0 USD per year

🔍 Communications and data solutions

🏢 Company: Twilio👥 5001-10000💰 $378,215,525 Post-IPO Equity over 3 years ago🫂 Last layoff about 1 year agoMessaging SMS Mobile Apps Enterprise Software Software

🔧 Requirements

7+ years hands-on experience as an engineer writing production-grade code in a modern programming language.
3+ years of experience in developing AI/ML systems.
Proven experience building, evaluating, and deploying large-scale AI/ML solutions for customer-driven products or similar high-performance environments.
Expertise in NLP and conversational AI systems.
Experience in various ML frameworks (e.g., TensorFlow, PyTorch, Llama Index, Langchain) and real-time data processing platforms (e.g., Kafka, or similar).
Proficiency in Python or similar programming languages.
Solid understanding of distributed computing and low-latency systems.
Exceptional collaboration skills, and cross-function and organization partnering.
Strong customer focus, excellent written and verbal communication skills.

💡 Responsibilities

Architect and lead the development of cutting-edge AI/ML systems for communication platforms, including natural language processing (NLP) and real-time decision-making models.
Collaborate with leadership to align AI/ML initiatives with the company’s strategic goals, ensuring impactful integration across product lines.
Design and implement scalable, robust ML models to support real-time, low-latency communication systems.
Explore and innovate around AI-driven personalization, recommendation systems, and predictive analytics to enhance user engagement.
Provide thought leadership in AI/ML technology, evaluating emerging trends and their applicability to communication challenges.
Ensure adherence to best practices for data security, privacy, and ethical AI, especially in handling sensitive communication data.

PythonKafkaMachine LearningPyTorchTensorflow

Posted about 2 months ago

Posted 2 months ago

📍 USA

🧭 Full-Time

💸 285000.0 - 315000.0 USD per year

🔍 E-commerce

🔧 Requirements

Ph.D. in Computer Science, Mathematics, or another quantitative field or outstanding professional experience in machine learning engineering.
Over 5 years of industry experience in machine learning.
Experience building recommender systems, preferably in e-commerce.
Demonstrated expertise with machine learning frameworks like PyTorch.
Understanding of ML system design in production environments.
Hands-on experience with large-scale data systems and data pipelines.
Adaptability to technologies including GCP, Kubernetes, Airflow, Pandas, PyTorch, Python, and Node.js.
Deep experience in model deployment strategies using frameworks like Flask or FastAPI.

💡 Responsibilities

Architect and oversee the development for novel product issues related to ML.
Triage customer issues regarding model/system shortcomings.
Build and maintain pipelines for fine-tuning open-source LLMs.
Serve and deploy LLM on GPUs.
Translate customer needs and business requirements into a long-term vision and roadmap.
Act as a thought leader in the Generative AI field.

Node.jsPythonFlaskGCPKubernetesMachine LearningPyTorchStrategyAirflowAlgorithmsFastAPIPandas

Posted 2 months ago