ABOUT ARTERA
Our Mission: Make healthcare in customer service.
What We Deliver: Artera (formerly WELL Health) is the patient communication platform that delivers happier staff, healthier patients, and more profitable organizations. We enable two-way conversations between patients and their healthcare teams through secure, multilingual messaging across multiple channels - including text, email, and telephone. By unifying disjointed touchpoints into a single, intuitive channel, Artera fuels connected patient experiences and empowers organizations to deliver the best customer service imaginable.
Our Impact: Artera helps 500+ healthcare providers facilitate more than 1 billion messages for 40+ million patients annually.
Our award-winning culture: Since founding in 2015, Artera has consistently been recognized for its innovative technology, business growth, and named a top place to work. Examples of these accolades include: Inc. 5000 Fastest Growing Private Companies (2020, 2021, 2022, 2023); Deloitte Technology Fast 500 (2021, 2022, 2023); Built In Best Companies to Work For (2021, 2022, 2023, 2024). Artera has also been recognized by Forbes as one of "America's Best Startup Employers," Newsweek as one of the "World's Best Digital Health Companies," and named one of the top "44 Startups to Bet your Career on in 2024" by Business Insider.
Artera is seeking a proactive and talented Machine Learning Engineer II to join our Machine Learning team. In collaboration with other tenured Machine Learning Engineers, this individual will aid in the development of machine learning models in healthcare IT. This is a great opportunity, ideal for an early-career professional eager to engage in full-cycle machine learning development, from data discovery to model deployment. The successful candidate will play a crucial role in ensuring the quality and performance of our models, directly impacting our product's success and customer satisfaction. Strong communication and storytelling skills are essential for effectively conveying the impact of models on user experience and overall business outcomes.
The Machine Learning Engineer will also play a key role in advocating best practices in machine learning methodologies, balancing independent work with collaborative effort. The position involves a balanced mix of model development and data analysis, with a focus on identifying and addressing data needs and issues.
If you are passionate about leveraging machine learning to transform healthcare and possess the necessary skills and drive, we would love to hear from you.
Responsibilities- Machine Learning Model Development: Develop, train, and fine-tune machine learning models using healthcare data, leveraging strong engineering instincts and debugging skills.
- Discovery: Conduct thorough data exploration, validation, and discovery to identify opportunities for model improvement.
- Performance Metrics Development: Establish and monitor key performance metrics to ensure model accuracy and effectiveness.
- Analytics and Insights: Analyze data to generate actionable insights, translating complex findings into clear, impactful narratives.
- Proactive Problem-Solving: Anticipate needs, think on your feet, and tackle tasks hands-on to find effective solutions.
- Communication and Storytelling: Effectively articulate insights and ideas to both technical and non-technical stakeholders, showcasing the impact and value of models.
- Methodology Evangelism: Advocate for and implement best practices in machine learning methodologies within the team and organization.
- Continuous Learning and Adaptability: Stay current with industry trends, continuously enhancing your skills and adapting to shifting priorities.
- Autonomous and Collaborative Work: Work independently with minimal supervision while also contributing positively to a collaborative team environment.
- Grit and Perseverance: Demonstrate determination and perseverance in overcoming obstacles and driving projects to successful completion.
Requirements- Bachelor's Degree in STEM (Master's Preferred)
- Strong foundation in core machine learning techniques and methodologies.
- Proficiency in data analytics and performance metrics development.
- Excellent communication skills for translating technical details into business impacts.
- Ability to work independently and proactively identify opportunities for improvement.
- Proficiency in AWS (SageMaker strongly preferred)
- Strong programming skills in Python for developing machine learning models.
- Proficiency in SQL, preferably Postgres, for data manipulation and querying.
- Solid understanding of statistical principles and their application in building machine learning models.
- Knowledge of probability and its impact on model development and performance.
Bonus- Experience with continuous integration and continuous delivery pipelines.
- Familiarity with healthcare data and its unique challenges and opportunities.
- Experience with app development using Python framework, e.g. Flask and Streamlit
$108,000 - $187,000 a year The compensation for this role will be based on level of experience and the geographic tier in which you are located. This position also comes with equity and a variety of benefits. Tier 1 Salary: $120,000 - $187,000 Non-Tier 1 Salary: $108,000 - $170,000
LOCATION
Artera values in-person collaboration and is currently hiring in the following US cities: Santa Barbara, Los Angeles, San Francisco/Bay Area, Kansas City, and Philadelphia (Wayne).
Artera HQ is in Santa Barbara, CA, and we have an additional US office located in Philadelphia (Wayne), PA. If you live in the Santa Barbara or Philadelphia area, your role will be hybrid and you will be required to work out of your designated office location 3 days a week, unless otherwise noted in the job requirements.
If you live in Los Angeles, San Francisco/Bay Area, or Kansas City, your role will be remote to start. As our team continues to grow in these cities, Artera will be considering opening offices in these locations. Once that happens, you will be required to work out of your designated office location 3 days a week, unless otherwise noted in the job requirements.
WORKING AT ARTERA
Company benefits - Full health benefits (medical, dental, and vision), flexible spending accounts, company paid life insurance, company paid short-term & long-term disability, company equity, voluntary benefits, 401(k) and more.
Career development - Manager development cohorts, employee development funds
Generous time off - Company holidays, Winter & Summer break, and flexible time off
Employee Resource Groups (ERGs) - We believe that everyone should belong at their workplace. Our ERGs are available for identifying employees or allies to join.
Committed to Diversity, Equity, and Inclusion
Artera is an Equal Opportunity Employer and is committed to fair and equitable hiring practices. All hiring decisions at Artera are based on strategic business needs, job requirements and individual qualifications. All candidates are considered without regard to race, color, religion, gender, sexuality, national origin, age, disability, genetics or any other protected status.
With that said, research shows that women and other underrepresented groups apply only if they meet 100% of the criteria. Artera is committed to leveling the playing field, and we encourage you to apply for positions even if you do not meet 100% of the criteria. We would love to connect with you and see if you would be a great fit for our role.
We're dedicated to creating an inclusive, equitable, and diverse workplace, where everyone feels safe to be themselves and diversity is a strength. Artera is committed to providing employees with a work environment free of discrimination and harassment; Artera will not tolerate discrimination or harassment of any kind.
DATA PRIVACY
Artera values your privacy. By submitting your application, you consent to the processing of your personal information provided in conjunction with your application. For more information please refer to our Privacy Policy .