Imagine your best weeks as an engineer—flow, breakthroughs, inventions.
What if every week could be like that?
We deliver production software—not research, not Powerpoint presentations, not Jupyter Notebooks. The most exciting part of the product development lifecycle is getting to v1 or v2 for our clients, rather than v77 of a system that has been running for years. Because our clients are often Fortune 1000 companies, your code will affect thousands to millions of people.
Your work may extend beyond an individual project, as we have filed several patents with our clients based on our work with them.
Our teams work on new client projects every few months, across data engineering, machine learning, and machine learning engineering. Through these projects you’ll experience the entire data product development lifecycle—from strategy, to architecting, to prototyping, to deployment.
You’ll work with modern tools and applications, including Python and the PyData stack (including NumPy, Pandas, sklearn, SciPy, OpenCV), Docker, Kubernetes, Terraform, MLflow, Dask, PyTorch, Airflow, AWS (including tools such as Athena, Redshift, BigQuery, and ElasticSearch), Azure, Google Cloud (including tools such as TensorFlow), Apache Beam, Spark, and Kafka.
You’ll also gain insight into how to connect technical work to vertical-specific business processes, perhaps leading to software and ML-oriented company creation ideas.
You’ll be surrounded by other exceptional engineers, helping you to grow professionally and personally. To enable you to do your best work, we minimize interruptions that take away from your ability to think deeply about problems. We have a writing-driven culture (for reasons that are similar to what's articulated here) to ensure that we are being efficient with our time.
We don't offer gimmicks that keep you away from your family and friends longer. We all want to do great work and then go enjoy life so we can come back and do it again.
We want you to feel good about working here.
We benchmark our compensation framework to market every year using the same data that large companies use. We make sure we’re paying in the top 25% for every role. We do this on an ongoing basis, so there's no burden to negotiate.
We believe that doing creative, deep work requires working smarter, not harder—as individuals and as a team. By removing extraneous meetings and interruptions, we're able to keep to 40 hours a week, with only the occasional push requiring more.
Manifold offers a platinum-tier medical PPO, as well as a robust dental PPO and vision policy for you and your family. Manifold pays 80% and you pay 20%.
Manifold offers flexible paid time-off, including self-managed vacation, personal, and sick days. If you need time away, take it. We know that we do our best deep work when we're healthy and recharged.
New parents may take up to 12 weeks of leave at 100% paid salary following the birth or adoption of their child. Ongoing, we support flexible work arrangements to help team members balance family priorities with work.
Manifold automatically contributes 3% of your salary to your retirement plan, with no vesting schedule or other gotchas—just simple and straightforward. You can contribute in addition to that.
Manifold provides a flexible environment for work-life integration. We focus on getting done what you promised and leave it to you to attend to your personal and professional commitments.
We offer part-time employment that only requires you to work the hours that you want. If you are at a life stage where you would like to work 40% or 60% of your time, we have a unique ability to offer that.
We actively invest in your growth—team members have been part of patent filings, academic publications, open source contributions, and of course, blog posts, magazine articles, and speaking at events.
We aim to make everyone 10x engineers through deliberate practice of making better decisions. We are particularly keen on mental models—both generally and around building data products in general. As an example, read about our Lean AI process.
Come help us build the future of Artificial Intelligence!