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AssemblyAI

Software Engineer, Data

AssemblyAI, San Francisco, California, United States, 94199


[Full Time] Software Engineer, Data at AssemblyAI (United States)

Software Engineer, DataAssemblyAI United States

Date Posted: 24 Mar, 2023

Work Location: San Francisco, United States

Salary Offered: $120000 — $165000 yearly

Job Type: Full Time

Experience Required: 3+ years

Remote Work: Yes

Stock Options: Yes

Vacancies: 1 available

AssemblyAI is a remote-first AI company building powerful deep learning models for developers, startups, and enterprises to transcribe and understand their audio data.

Our ASR models already outperform companies like Google, AWS, and Microsoft

- which is why hundreds of companies and thousands of developers are using our APIs to transcribe and understand millions of videos, podcasts, phone calls, and zoom meetings every day.

AssemblyAI’s Speech-to-Text APIs are already trusted by Fortune 500s, startups, and thousands of developers around the world, with

well-known customers including Spotify, Algolia, Dow Jones, Happy Scribe, BBC, The Wall Street Journal, and NBCUniversal.

Join our world-class, remote team and help us build an iconic deep learning company!

The RoleWe're looking for a Data Engineer with strong back-end and cloud engineering skills. You'll build highly scalable, internal ETL pipelines and processes to help unlock the next chapter of our ML research capabilities. Some of your responsibilities will include:

Design and implement data lakes and data warehouses to support rapidly growing data sets

Build, debug, and troubleshoot distributed data pipelines

Instrument systems with metrics, tracing, and logging

Generate reports on data and pipeline metrics for stakeholders

Refactor applications to eliminate tech debt

You'll love this job if you....

Enjoy working with internal stakeholders

Enjoy taking ownership and solving complex technical problems, even when there is no perfect solution

You're excited to take initiative and tackle big technical challenges like building highly scalable architectures

Requirements

3+ Years of professional experience working as a Data Engineer or similar position

3+ Years of working with Python, SQL and NoSQL

2+ Years working with cloud services from GCP, AWS, or similar

2+ Years building containerized solutions

1+ Years experience with data modeling and database design

1+ Years experience with big data technologies such as Spark, Hadoop, BigQuery, or Redshift

1+ Years experience working with PySpark, Pandas, or Scala

Has worked at a startup or high growth company

Skills

Inquisitive.

You’re always in search for both novel and effective solutions even when within highly constrained time and resources.

Fast learner.

Ramping up on difficult topics is a trivial task for you.

Good sense of code structuring.

You strive for making your code speak for itself and be readable by other humans.

Proactive self starter.

Driven to accomplish tasks, while acknowledging the value of seeking help when faced with a challenge.

Nice to Have

Professional experience building internal front-end apps including data analytics dashboards

Professional experience working with Kubernetes

Experience collaborating with Data Scientists

Machine learning experience - Has worked with machine learning models at scale

Remote Locations: North America, LATAM, EuropeOur TeamOur team is made up of problem solvers, innovators and top AI researchers with over 20+ years of experience in Machine Learning, NLP, and Speech Recognition from companies like DeepMind, Google Brain, Meta, Apple and Amazon.

Our team is fully remote, and our culture is super collaborative, low-ego, transparent, and fast-paced. We want to win - and have a flat organization where everyone can openly share ideas (regardless of their title or position) in order to get the best idea.

Benefits (US)

Competitive Salary + Bonus

Equity

401k

100% Remote team

Unlimited PTO

Premium Healthcare (100% Covered for you + dependents)

Vision & Dental Care

$1K budget for your home office setup

New Macbook Pro (or PC if you prefer)

2x/year company paid team retreat

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