Senior Staff Data Engineer, Machinify
$200-250k
Plus equity
AI & data-driven healthcare cost reduction platform
Open for applications
AI & data-driven healthcare cost reduction platform
21-100 employees
Open for applications
$200-250k
Plus equity
21-100 employees
Company mission
To develop software that helps people get the right medical care, at the right time, at the right price.
Role
Who you are
- Masters in Computer Science or STEM disciplines
- Experience applying modern NLP models in practical settings
- Plus if the candidate has worked with medical records and/or insurance claims
- Startup experience
- 8+ years experience as hands-on Data Engineer in either as a lead developer role. SQL proficiency is a must
- 7+ years of experience managing the delivery of complex data
- Experience understanding business problems and coming up with tech based solutions
- Experience with cloud-based services and enterprise software environments
- Strong data technical background as evidenced by prior experience as a hands-on data/ETL engineer
- Familiarity with frameworks and protocols for data transfer, data consumption and data manipulation
- Analytical approaches to problem solving and data-driven decision making
- Ability to balance trade-offs among multiple competing priorities
- HealthCare Domain knowledge is a plus
- You are scrappy, fast, high bandwidth, adaptable and ambitious
- Critical thinking and problem solving skills
- Comfortable with ambiguity and taking the initiative when required
- Amazing communication skills
What the job involves
- Machinify is seeking a Sr./Staff Data Engineer to own the models that power our ML pipelines running in production from start to finish
- Independently understand all aspects of a business problem including those unrelated to their area of expertise, weigh pros and cons of different approaches and suggest ones likely to succeed
- Work with a cross-functional organization including engineering, delivering, subject-matter experts, product managers, as well as platform engineers to deliver a scalable framework
- Map the customer data into Machinify canonical form. Identify and ingest non canonical fields and generalize the process to a minimal level of customization
- Proactively design and adapt the canonical form to suit changing query patterns and needs
- Ultimately own data availability and quality for the Data Science organization
- Mentor and train other members of the team, setting frameworks that impact the performance of the Data function at Machinify
- Set best practices and processes to optimize the way the team works towards business objectives
- Proactively researches new tools and technologies, and makes savvy recommendations to drive business success for Machinify and customers
- Enjoy working in an Agile/Scrum/Lean environment
- Be challenged when faced with solving complex problems
- Bring a passion for improving the lives of others by making their jobs easier and more productive
Otta's take
Xav Kearney
CTO of Otta
Founded in 2016, Machinify's original aims were to help re-tool business operations across industries, transform data into decisions, and enable established enterprises to keep up with the rapidly digitizing space. Nowadays, the company has pivoted to employ its AI expertise specifically to the healthcare industry, where it has already found success with Payers and secured several market-leader customers.
Healthcare is one of many industries where companies have vast pools of data, but struggle to make the most of it due to operational restraints in deploying AI-systems. Machinify makes it easier for Payers to implement AI-powered decision making, applying it to the authorization of treatments, review of medical claims and bills, and diagnosis of underlying conditions.
The company's choice to focus on healthcare comes alongside a more pinpointed mission to help tackle overpayment and supply more affordable healthcare to a broader scope of patients, which is definitely commendable. With intelligent applications such as those Machinify provides seeing broader adoption in the market, the company will likely see more funding and growth in the coming years.
Insights
Few candidates hear
back within 2 weeks
9% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Oct 2018
$10m
SERIES A
Mar 2016
$2.8m
SEED
Total funding: $15.6m
Company benefits
- Work from anywhere in the US
- Home office stipend
- Premium medical, dental & vision benefits
- 401k plan sponsorship
- No-meeting day every week
- Flexible PTO
- Inclusive paid parental leave (14 weeks)
- Company wide recharge days
- Bi-weekly open forum meetings
- Mentorship from industry leaders
- Annual learning and development stipend
Company HQ
University South, Palo Alto, CA
Articles
Founders
Alain Rossmann
(Chairman of the Board)Founder and former CEO of several Startups including Klip, PSS Systems and vudu.
Prasanna Ganesan
(CEO)Founder and former CTO of vudu. Former CTO at Klip.
Tony S. M.
(President)Founder and former CEO of vudu. Former Board Member at CHILI and previously COO at Poynt.
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