Senior Machine Learning Engineer

About Orita 

Direct-to-consumer brands pay us, in order to market less. 

Well, technically, they pay us to market more effectively. And, strangely (!), that often means marketing a lot less.

How? We use a lot of math and a lot of machine learning to decide which people on their subscriber lists actually want to hear from them right now.

When you do this, two things happen. Brands save a ton of money. And their deliverability improves (hello inbox, goodbye spam filter!).

Fewer messages sent + higher chance they will be seen = ROI goes way up.

Sounds simple, right? Well, it’s not. You try getting marketers to be less market-y. It’s way easier to “play it safe” and email everyone all the time. Our math has to be that good.

But you said there would be math. Yes. We said there would be math.

And that’s where you come in. We need people with amazing neural networks in their heads to help program our artificial ones. You’ll be one of the founding members of our machine learning team. You’ll have a huge impact on our product, our culture, and building something great from the ground up. It will be a lot of fun.

About The Role:

You will be on a team of ML engineers, reporting to our CTO Zack (he has a Master’s in CS from Georgia Tech) and working closely with our CEO and Head of Product Daniel (he has a PhD in Neurobiology and has built data science teams for a decade). We look like a SaaS company, but we’re really building the data science and machine learning company to support the world’s best brands.

As a Machine Learning Engineer, you will:

• Create models that drive a ton of value for our customers

• Build a robust and scalable ML infrastructure to deploy those models in production

• Iterate, iterate, iterate

Your Ideal Background:

Please apply even if you don’t meet every requirement

• Ph.D. in some fancy field AND 5 years full-time Software Engineering work experience OR 8-10 years full-time Software Engineering work experience from which at least 5 years working on Machine Learning systems/platforms/applications

• Strong understanding of modern machine-learning approaches and algorithms

• Knowledge of Python, including corresponding scientific libs (numpy, pandas, etc.)

• Experience working with machine learning frameworks (PyTorch, Spark ML, scikit-learn, etc.)

• Experience working with machine learning infrastructures and scalable system design

• Able to prioritize duties and work well on your own

• Experience owning problems end-to-end, with a willingness to pick up whatever knowledge is missing to get the job done.

Bonus points for experience in the following:

• Optimization (RL/Bayes/Bandits)

• Graph machine learning

• Causal inference

• Natural language processing

• Time series analysis

Where you’ll work: Remotely in the NYC Area, with occasional in-person meetings until we get a coworking space in the future. 

Orita Offers:

Orita offers an array of benefits, including competitive salaries, 401K, equity in a fast-growing startup, and a flexible PTO policy.

The base salary range for this full-time position is $180,000 - $250,000 + equity + benefits (healthcare, 401K, etc.). Within the range, individual pay is determined by multiple factors, including job-related skills, experience, location, and relevant education or training.

Orita is an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation, or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics.