Machine Learning Engineer
Posted on 12/30/2022
INACTIVE
AI-powered English tutoring app with conversational practice
Company Overview
Speak is a rapidly expanding AI English tutoring company, recognized by Apple for its effective and engaging app, and backed by globally renowned investors such as Y Combinator and Open AI. The company's unique blend of advanced conversational speech recognition systems and consumer product expertise has resulted in a language learning experience that surpasses traditional human tutors. Testimonials from users highlight the app's focus on practical speaking skills, its ability to sustain user engagement, and its success in improving users' pronunciation and fluency, demonstrating Speak's industry leadership and competitive advantage.
AI & Machine Learning
Education
Company Stage
Series B
Total Funding
$74.4M
Founded
2015
Headquarters
San Francisco, California
Growth & Insights
Headcount
6 month growth
↑ 18%1 year growth
↑ 170%2 year growth
↑ 311%Who's Reading Your Application
Anne Lee
Operations & Recruiting
Hi, I'm Anne :) Thanks for your interest. We look forward to reviewing your application!
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Pytorch
Natural Language Processing (NLP)
CategoriesNew
AI & Machine Learning
Requirements
- 5+ years of software engineering with versatile experience in ML systems
- Have a solid grasp on the MLOps ecosystem
- You have acquired best practices to lead the team towards building a robust ML infrastructure
- You obsess about SLAs
- Proficiency in programming languages and libraries (PyTorch) that enable efficient server-side deployments
- You have built high performance online serving infrastructure
- Experience in building ML products using cloud-based platforms
- Solid machine learning background and familiarity with standard speech, NLP, and machine learning techniques with experience with at least one major deep learning framework
- Experience with MLOps tools such as MLflow, Kubeflow, Metaflow, Airflow, Seldon Core, TFServing etc
- Autoscaling, containers, performance tuning and optimization
Responsibilities
- Take ownership of productionalizing, optimizing, and scaling of machine learning systems to power speech and NLP-based product features
- Work on building a robust ML infrastructure that accelerates ML team output and enables continuous improvement - orchestration of pipelines, model versioning, data versioning, model monitoring, model serving, experimentation etc
- Bring in the best software engineering practices to a growing ML organization
- Join a fantastic, tight-knit team at the right time: we're growing super quickly, we just raised our Series B from some of the top investors in the valley, and we've achieved product-market fit. You'd join at a magical time when a single person could significantly change the course of the company
- Do your life's work with people you'll love working with: we care strongly about our craft and want every person at Speak to feel like they're growing every day. We believe in the idea that working with people you both enjoy and have respect for makes everything better. We hire thoughtfully and only work with people we admire deeply
- Global in nature: We're live in South Korea and Japan, and launching in a number of new markets soon. We have dedicated offices in San Francisco, Ljubljana, and Seoul, and you'll have the opportunity to talk to users in each of these regions on a regular basis as well as travel
- Impact people's lives in a major way: Learning a language is one of the single most life-changing skills one can learn and right now 99% of people never achieve their goal because the process is broken. We're helping millions of people achieve their goals and improve their lives