Machine Learning Infrastructure Engineer

Full Time Junior, Mid-Level, Senior Posted 4 days ago
Main Location
Palo Alto, CA, United States
Open jobs
About us

The internet is not a safe place. The moderation of abusive and harassing content has long been propped up by keyword filters and pattern matching, but the lion’s share of this work has always fallen to humans. Today, hundreds of thousands of people review the worst content the internet has to offer. Yet even as a multi-billion dollar industry content moderation industry has emerged, millions of people are abused, harassed, and attacked every day, across every digital platform.

At Sentropy, our mission is to make the internet safer. We’re reimagining how communities of any size can use technology to protect and improve the experiences of their users. Powered by cutting-edge machine learning technology and guided by our experience fighting fraud, terrorism, and human trafficking, Sentropy’s platform allows digital communities to gain quick access to data and intelligence that can enable proactive abuse detection and power content discovery to drive deeper user engagement.

Sentropy is a Series A company based in Palo Alto, CA. Our team is backed by a stable of top institutional investors, as well as founders and leaders of Reddit, Riot Games, OpenAI, Twitch, Twitter, and a former head-of-state. We’re making the most advanced technologies easily accessible to those safeguarding the internet, and we’re looking for people that are passionate about using technology to improve our society.

What you’ll be working on
  • Designing and building our core data pipeline architecture in a Kubernetes focused environment, enabling all of our machine learning to run at full efficiency
  • Creating tools to enable a traceable workflow of data from development to production
  • Deploying services to work against some of the largest data streams in the world
  • Integrating open-source or third party services into our daily workflow
  • Solid understanding of data structures, advanced algorithms, and data pipeline architecture, including the operational trade-offs of various designs
  • 2+ years of industry experience, at either large or small scale, working with infrastructure
  • Experience working with distributed, streaming, or big data processing systems (eg, Spark, Kafka, MapReduce, etc.)
  • 4+ years software programming experience in 2‐3 of the following: Python, Shell scripting, SQL, jq, Java, C/C++, Julia, distributed systems, Golang, node.js, etc.
  • Deep experience with running large data processing tasks in cloud environments (eg, AWS, Google Cloud)
  • Hands-on experience with containerization (eg, Docker) and orchestration (eg, Kubernetes)
  • Good understanding of 2‐3 of: Postgres, General build/deployment, node.js, Python/PyPy, PyTorch, Jupyter/NumPy/Pandas, pubsub, Kafka, etc.
  • Experience with Helm, Terraform, Puppet, or any other dev-ops is a plus
  • Big plus if you have experience working with machine learning teams, but if not and you’re the right candidate, we’ll teach you along the way
What we offer
  • Health care: we offer platinum-level medical, dental, and vision insurance, and cover 99% of premiums for employees and 95% of premiums for dependents
  • Generous PTO, sick leave, and parental leave
  • Free breakfast, lunch, and dinner provided every Monday to Friday
  • Up to $100 in reimbursement for personal health & wellness expenses each month
  • 401(k) plan
  • Monthly allowance for employee-sponsored events
  • Unlimited access to two fully-stocked micro-kitchens
  • On-site showers, car washes, and dry-cleaning pick-ups / drop-off

Other Benefits

Visa Sponsorship

Relocation available

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Machine Learning Infrastructure Engineer
Sentropy Technologies