Machine Learning Engineer
Remote - United States
Applications have closed
- establish that they have received the “designated vaccine(s)“; or
- obtain an approved exemption as an accommodation.
About Us
CipherHealth is an award-winning healthcare technology company that delivers a comprehensive portfolio of scalable and flexible patient engagement solutions for healthcare organizations to keep patients, staff, families and communities up to date and informed about their preventative, acute or elective care -- whether it is in a hospital, clinic, facility, at home or anywhere in between.
In this historic time, when the entire globe is facing a global healthcare crisis, CipherHealth is out in front helping hundreds of leading healthcare providers like UCSF, Johns Hopkins and University of Pennsylvania manage through this pandemic and beyond with solutions that enable them to deliver remarkable in-care experiences and impactful around-care engagement that empower patients and staff, reduce friction and waste, and drive best possible outcomes.
Machine Learning Engineer
We are looking for a Machine Learning Engineer to assess, analyze and organize large amounts of data, while also executing tests and optimizing machine learning models and algorithms. You will work with upper management to define software requirements and take the lead on operational and technical projects.
At Cipherhealth, we believe in collaboration, mutual respect, open communication, and opportunity for growth. In this role you will be collaborating with others to define and implement optimal, complete solutions based on stakeholder needs. You will help design and create machine learning models and retrain systems for systems use with the aim of optimizing operational efficiency for our customers.
You should be able to work independently with little supervision. You should have excellent organization and problem-solving skills and have worked in an Agile environment.
Responsibilities
- Designing ML systems using high-quality software design and architecture
- Research and implement ML algorithms and tools
- Select appropriate data sets; pick appropriate data representation methods
- Identify differences in data distribution that affects model performance
- Verify data quality; perform validation and verification testing
- Perform statistical analysis
- Run machine learning tests, use results to improve models
- Train and retrain systems when needed
- Identify, prioritize and execute tasks in the software development life cycle
- Develop tools and applications by producing clean, efficient code
- Automate tasks through appropriate tools and scripting
- Review and debug code
- Collaborate with internal teams and vendors to fix and improve products
- Ensure software is up-to-date with latest technologies
Requirements
- Significant experience in software development, data science; advanced math and statistics skills
- Significant experience working with ML frameworks and ML libraries and packages
- Deep understand of data structures, data modeling and software architecture
- In-depth knowledge of databases (e.g. PostgreSQL, MySQL, MongoDB, Snowflake)
- Analytical mind with problem-solving aptitude
- Ability to work independently
- Growth-mindset in approaching new technologies and patterns
Nice-to-Have
- Some Experience with GCP or a similar cloud platform
- Experience working in Agile teams
- Advanced degree in computer science, math, statistics or a related degree
Our Stack (for Context)
- Core Application: Ruby on Rails on MongoDB
- Data Warehouse: Python, Airflow & Flowers, Snowflake
- VCS: Github
- CICD: Gitlab & Terraform
- Hosting: On-prem and GCP
How We Invest In You
- Compensation: Competitive/equitable salary, bonus or commissions, and equity
- Healthcare that begins on your first day:
- Generous company-funding of our health, vision, and dental plans (most individual plans are of no cost to you for the monthly premium)
- HSA/FSA plans
- Short and Long-Term Disability
- Life and Personal Accident Insurance
- $40 monthly wellness stipend you can use towards any wellness, fitness, and wellbeing purchases
- Weekly virtual yoga classes
- Employee Assistance Program (EAP)
- Adoption Assistance
- Retirement: 401(k) at three months of employment — with a match upon enrollment!
- Time away:
- Discretionary PTO + 13 paid holidays
- Parenthood: Competitive paid parental leave and flexible return to work policy
- Recognition:
- Generous Employee Referral Program - earn cash for each employee referral that is hired
- Yearly Cipher-versary stipend
- Ci-Phives - receive public kudos and gift cards from peers and managers
- Culture:
- CARE2 Values
- Bi-Weekly All Hands Meetings
- $30/employee monthly “Fundowment” for team bonding events
- Employee Resource Groups such as Rainbow Room and BIPOC Group
- Yearly donations to organizations that contribute to a more equitable world
- Weekly Lunch & Learns and robust onboarding / training programs
- Remote-first team: $50 per month reimbursement in your check for WFH expenses
- You’ll receive a new Macbook laptop, other hardware, and company swag upon hire
Tags: Agile Airflow Computer Science GCP GitHub GitLab Healthcare technology Machine Learning ML models MongoDB MySQL PostgreSQL Python Research Ruby Snowflake Statistics Terraform Testing
Perks/benefits: 401(k) matching Career development Competitive pay Equity Fitness / gym Flex hours Flex vacation Gear Health care Home office stipend Insurance Parental leave Salary bonus Startup environment Team events Wellness Yoga
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