Machine Learning Engineer (Search and Ranking)

Remote /
Engineering /

The internet is broken.

Yes, we have access to more information than ever before, but too often, hate and misinformation win. What if we could remake the internet into a place of trust, kindness, and facts? And what if we had technology to actually help us through complex decisions? is on a mission to build a better internet, and to get there we are experimenting with radically new ways to help our users confidently make better decisions. It’s an audacious goal, but we’re ambitious people. We’re looking for a few more ambitious folks to join the founding team.

We’re not just wide-eyed dreamers – we’re pragmatic doers, too. Our founder and CEO, Richard Socher previously started an AI company called MetaMind. Salesforce acquired the company, and Richard became Chief Scientist, leading the company’s AI efforts. Prior to MetaMind, Richard received the best PhD thesis award from Stanford for his groundbreaking work on deep learning. Bryan McCann, co-founder and CTO, is a scientist and philosopher who led natural language processing teams at Salesforce after completing his Masters in CS at Stanford. Our founding team members have built companies worth hundreds of millions of dollars and scaled software to serve millions of users. For fun, we run marathons, paramotor, write poetry, read Latin, hike, and camp in the middle of nowhere.

If this sounds intriguing, say hello!

About the Job

We are hiring a world-class team of software engineers to architect, implement, and deploy a new search engine.

While you can execute on implementation and experimentation independently, you thrive in collaborative environments, can integrate feedback from active users into your own vision for the product, and can work with designers and engineers to bring your vision to


    • You have experience developing industry-leading index/search systems with low latency and high throughput
    • Experience building ranking systems and familiarity with industry-standard ranking metrics
    • Experience with search systems such as ElasticSearch, Solr, or Lucene
    • Experience with embedding-based methods that leverage frameworks such as FAISS
    • You can work on the entire machine learning pipeline from data cleaning, data processing to ML models building and serving
    • You have a knack for training and tuning neural systems and non-neural systems to get the best of both
    • Familiarity with major deep learning frameworks such as PyTorch
    • You want to write high quality code and build a world-class engineering team
    • You are electrified by the possibilities and challenges of rapidly shipping and iterating on user facing code and building a consumer application with high public visibility


    • You are a kind, friendly person and strive to create a kind, inclusive work place filled with smiles and laughter
    • You take and give feedback graciously as part of growing individually and as a team
    • You will take joy in collaborative brainstorming and proposing novel extensions
    • You want to play an active role throughout the process of delivering your work to users
    • You are always willing to learn what you do not know
    • You are dependable and take pride in your work
    • You enjoy jumping in to help others with whatever part of the product they are building
    • You want to be part of defining and building a team around a vision and technology that has a direct path to improving the daily lives of people all over the world


    • You have a strong portfolio, whether it is a collection of professional, academic, or personal projects taking the form of production code, published papers, or open source contributions
More about is an equal opportunity employer: your race, color, religion, sex, sexual orientation, gender identity, national origin, or disability status don’t matter. We’re committed to building a diverse, inclusive, and supportive workplace that is effectively distributed around the world.

We're a remote-first company, but work hours are generally within the Pacific Timezone (7 hours behind UTC). We get together in-person regularly as a team, but as long as your able to maintain significant overlap with Pacific hours during the workday we're comfortable hiring in almost any location (location-specific legal requirements permitting).

• Competitive salary and equity
• Great health, dental, and vision insurance for you and your family
• 401(k) plan
• Unlimited time off (4+ weeks encouraged annually)
• Generous parental leave
• Flexible work hours