Senior Machine Learning Research Engineer

Alation continues to hire for roles at various locations with all interviewing and on-boarding done virtually due to COVID-19 crisis.
Big Data isn’t a problem. It’s an opportunity. 
At Alation, we help people find, understand, and trust data, so they not only excel in their work — they drive value for their enterprise, team and role. In the words of one customer, “Alation makes me look like a rockstar.”
We help companies like Pfizer, PepsiCo, and Munich Re empower their people with the best data every day. As a platform for innovation, Alation helps customers create game-changing solutions and products (like a program for early-stage disease detection with Pfizer, or a wind farm offering a guaranteed ROI with Munich Re). And we’re just getting started.
With more than $217M in funding - valued at $1.2 billion and 300+ customers with household names, Alation is poised to capitalize on data as an opportunity. Our exceptional Glassdoor ratings reflect a culture that makes coming to work each day a joy. Do you want to join a team that welcomes new ideas, supports your growth, and recognizes your unique value?
Join us!
We are seeking an experienced machine learning engineer to join our highly strategic AI/ML research team. This team is tasked with researching and developing new, and extending existing, approaches using ML strategies driving customer value across many use cases. You will use current research to advance our product offerings, lead educational sessions for the broader Alation community, and interface with Alation engineering and product teams to build out new use cases that leverage AI/ML models from inception to productization. You will also be instrumental in helping us further enhance a work culture that fosters continuous learning and growth.

What you'll do:

• Collaborate with engineering teams to develop new and improve existing AI/ML models supporting business use cases
• Research and prototype new ML approaches and strategies relevant to Alation product offerings
• Identify, qualify, and spearhead new machine learning use cases based on recent research
• Act as a subject matter expert in all aspects of machine learning, and further the AI/ML expertise within the broader engineering organization 
• Stay current on the latest research and educate a broader internal audience
• Grow and enhance Alation’s engineering culture and policies

You should have:

• CS, math, physics, or equivalent MS or higher degree with 5+ years of experience working as a machine learning engineer or researcher with strong python skills, including 3+ years of experience developing, testing, and deploying deep learning models (using TensorFlow or PyTorch)
• A deep and broad understanding of machine learning algorithms, use cases, and implementations
• Deep hands-on expertise of current NLP approaches
• Solid knowledge and understanding of SQL
• Experience with BI tools, headless BI, data transformation, and data modeling approaches
• Very good communication and collaboration skills
• Ability to translate research papers into product use cases that open or expand business opportunities

Nice to have:

• Good understanding of MLOps processes and pipelines
• Experience with architecting for and deploying ML models into Amazon Web Services using AWS SageMaker

#LI-RB2
More About AlationOur founders have come together from different backgrounds: business, engineering, and design. This unique mix from our founding team is important to the Alation culture story. Today, our team consists of creators and communicators with varied backgrounds - from Stanford, to the Indian Institute of Technology, big companies and one-person startups, the United States, and abroad. We continue to seek ever more diverse perspectives as we grow.
We are an equal opportunity employer and value diversity at our company. We do not discriminate onthe basis of race, name, religion, color, national origin, gender identity and expression, sexual orientation, age, marital status, veteran status, or disability status.
Why Alation?- Market-Leading Data Catalog Provider- High-growth, collaborative environment with diverse and inclusive teams- Continuous learning, enrichment and development opportunities- Competitive pay and health offerings- Flexible time off to relax and rechargeand much, much more!