AI/ML Job: Lead Machine Learning Engineer

Spectrum Labs

Lead Machine Learning Engineer at Spectrum Labs

Remote โ€บ ๐Ÿ‡บ๐Ÿ‡ธ๐Ÿ‡จ๐Ÿ‡ฆ 100% remote position (in US or Canada)
  (Posted Jul 3 2022)

Please mention that you found the job at Jobhunt.ai

Apply now!  

Job description
Are you well-versed in and excited by the unique challenges of applying NLP and NLU to content moderation? Do you regularly leverage deep learning frameworks such as Tensorflow, PyTorch, and ONNX to build and maintain reliable, fast, secure, and scalable software systems in object-oriented programming languages such as Python and Scala? If so, Lead MLE at Spectrum Labs might be the role for you.

At Spectrum Labs, weโ€™re working hard to make the Internet a safer place for communities to grow. While technology has brought us closer than ever, it has also opened up new ways for people to harass, bully, threaten, scam, and overall hurt each other. With our products, we empower our clients to recognize these behaviors on their own platforms according to their own community guidelines. Using the signal from our solutions, platforms can more effectively enforce those guidelines and promote a healthier environment for their users to become a community.

The Lead MLE plays a central role in experimenting and productionizing models, working between the engineering and data science teams to integrate solutions across data and model management tasks. As a member of our team, you'll develop large portions of our stream processing and model training technologies while improving response times and saving bandwidth at inference. Youโ€™ll expand your capabilities in software design and code development, and work in an agile and collaborative environment while making the internet a safer and better understood environment.

Key Responsibilities

Design and implement highly scalable machine learning applications processing large volumes of data.

Implement distributed cloud GPU training for deep learning models.

Collaborate with researchers to productionize real-time, scalable deep learning models, optimizing trade offs between performance and scale.

Benchmark performance, power, latency, bandwidth on CPU/GPU.

Containerize production code using Docker and Kubernetes.

Develop robust and extensible libraries for preprocessing text and audio data for downstream applications.

Efficiently process streams of text and audio data in real-time.

Implement API integrations with external systems.

Write tests to ensure robustness and reliability of pipelines and processes.

Work collaboratively alongside world-class ML/AI professionals and researchers.

Job Benefits

Competitive salary and equity.

Remote-first anywhere within North America.

Comprehensive medical, dental, vision, and other benefits.

Personal hardware choices.

Challenging and rewarding experiences.

Team Culture

As a remote-first start up, we work hard to balance the benefits of remote work with the cultivation of a cohesive team culture. We maintain daily communications with Slack, stand ups, and team meetings, as well as quarterly (optionally in-person) gatherings for departments, teams, or the whole organization.

Job Qualifications

We expect all candidates to demonstrate:

Advanced degree in computer science, physics, statistics, or a related discipline.

Minimum 3-years experience building scalable machine learning systems.

Minimum 3-years experience in Deep Learning framework's Tensorflow and PyTorch

Experience training distributed deep learning models on GPUs.

Experience in deploying production-level inference systems.

Proficiency in Python and PySpark.

Solid understanding of data structures and algorithms.

Preferred Qualifications

We are most interested in candidates who demonstrate:

Experience with efficient batch and streaming workflows using Argo, Spark, Kafka Streams, etc.

Experience with distributed computing frameworks (Celery, PySpark, Hadoop,โ€ฆ).

Experience with AWS and GCP pipelines.

Interview process

After a 30 minute initial screen, we will organize a 1 hour group screen with 4 team members, covering a range of questions related to key job responsibilities and qualifications. We will work with you to determine the most effective evaluation of your coding abilities, whether it is walking through a repository youโ€™ve created or an ML package you work with regularly. Following a chat with the hiring VP, we may schedule some additional informal chats if there are any remaining questions on either side.

Please mention that you found the job at Jobhunt.ai

Apply now!  
 

Company: Spectrum Labs

Spectrum Labs
job info / career page
Linkedin profile
Location: ๐Ÿ‡บ๐Ÿ‡ธ๐Ÿ‡จ๐Ÿ‡ฆ US/Canada Remote, 100% Remote

Map of USA and Canada

Skills wanted for this job:
ai aws docker gcp hadoop
kafka kubernetes ml nlp python
pytorch scala spark tensorflow

๐Ÿ‡บ๐Ÿ‡ธ Machine learning recruitment

Are you in US and prefer to let a recruiter
find your dream job?

Get in touch with Drew from Catapult &
let him know with what you are looking for

Golangprojects.com: Golang jobs

Golang job board
If you are interested in
Golang jobs

Visit Golangprojects.com

ClojureJobboard.com: Clojure jobs

Clojure job board
If you are interested in
Clojure jobs

Visit ClojureJobboard.com

Other machine learning jobs that might be interesting

Machine learning job ML Research Scientist at NT Parameter Lab ML Research Scientist - NT Parameter Lab
Tรผbingen, Germany
We are building a new group of ambitious, independent-minded researchers to tackle the trustworthiness of billion-scale ML models. The team will work on the in-house large language models and large-sc...

Not the machine learning job you are looking for?
Browse all machine learning jobs and we're sure you will find a suitable one!
Browse machine learning jobs with similar combinations of skills
Machine learning jobs with aws Machine learning jobs with docker Machine learning jobs with gcp Machine learning jobs with hadoop Machine learning jobs with kafka Machine learning jobs with kubernetes Machine learning jobs with nlp Machine learning jobs with python Machine learning jobs with pytorch Machine learning jobs with scala Machine learning jobs with spark Machine learning jobs with tensorflow
๐ŸŒ Remote machine learning jobs ๐Ÿ“ง Machine learning jobs newsletter ๐Ÿ”Ž ๐Ÿ‡บ๐Ÿ‡ธ US ML/AI recruiter ๐Ÿ‡บ๐Ÿ‡ธ ML jobs in United States ๐Ÿ‡บ๐Ÿ‡ธ ML jobs in California ๐Ÿ‡บ๐Ÿ‡ธ ML jobs in San Francisco, CA ๐Ÿ‡ฌ๐Ÿ‡ง ML jobs in United Kingdom ๐Ÿ‡ฌ๐Ÿ‡ง ML jobs in London ๐Ÿ‡บ๐Ÿ‡ธ ML jobs in New York ๐Ÿ‡บ๐Ÿ‡ธ ML jobs in Massachusetts ๐Ÿ‡ฉ๐Ÿ‡ช ML jobs in Germany ๐Ÿ‡บ๐Ÿ‡ธ ML jobs in Palo Alto, CA ๐Ÿ‡บ๐Ÿ‡ธ ML jobs in Texas ๐Ÿ‡ฉ๐Ÿ‡ช ML jobs in Berlin ๐Ÿ‡บ๐Ÿ‡ธ ML jobs in NYC, NY ๐Ÿ‡บ๐Ÿ‡ธ ML jobs in Cambridge, MA ๐Ÿ‡บ๐Ÿ‡ธ ML jobs in Washington ๐Ÿ‡บ๐Ÿ‡ธ ML jobs in Cupertino, CA ๐Ÿ‡บ๐Ÿ‡ธ ML jobs in New York, NY ๐Ÿ‡บ๐Ÿ‡ธ ML jobs in Austin, TX ๐Ÿ‡ณ๐Ÿ‡ฑ ML jobs in Netherlands ๐Ÿ‡ณ๐Ÿ‡ฑ ML jobs in Amsterdam ๐Ÿ‡บ๐Ÿ‡ธ ML jobs in Menlo Park, CA ๐Ÿ‡บ๐Ÿ‡ธ ML jobs in Sunnyvale, CA ๐Ÿ Python & ML jobs๐Ÿ“™ Tensorflow & ML jobs๐Ÿ”ฆ Pytorch & ML jobs๐Ÿ˜ Aws & ML jobsโญ Spark & ML jobs๐Ÿฆœ Nlp & ML jobs๐Ÿ—„๏ธ Sql & ML jobsโ˜• Java & ML jobs๐Ÿ‡ฐ Keras & ML jobs๐Ÿณ Docker & ML jobsยฎ๏ธ R & ML jobsโ˜ธ๏ธ Kubernetes & ML jobs๐Ÿผ Pandas & ML jobs๐ŸŽผ Scala & ML jobs๐Ÿด Git & ML jobs๐Ÿง Linux & ML jobsโ˜๏ธ Gcp & ML jobs๐Ÿฟ๏ธ Go & ML jobs๐Ÿ˜ Hadoop & ML jobsโ˜๏ธ Azure & ML jobs๐Ÿฆœ Natural language processing & ML jobsโš›๏ธ React & ML jobsโœ‰๏ธ Kafka & ML jobsโ˜• Javascript & ML jobs