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Staff Software Engineer, Machine Learning Job Opening In WorkFromHome – Now Hiring SmarterDx


Job description

Staff Software Engineer, Machine Learning

Remote (United States)

Overview

We are looking for a Staff Machine Learning Engineer to help us build a best in class ML ecosystem to advance our product suite with clinical AI.

The ideal candidate works exceptionally well across disciplines and delivers high quality outcomes continuously, with a relentless focus on reliable systems and developer experience.

SmarterDx builds clinical AI that empowers hospitals to analyze the complete record of every patient to fully capture the value of care delivered.

Founded by physicians in 2020, its proprietary AI platform understands the nuances of clinical reasoning, enabling hospitals to true the patient record for every discharge.

By doing so, hospitals can recover millions in earned revenue, enhance care quality metrics, and optimize healthcare operations.

Become a Smartian and help optimize the way the healthcare system works for everyone.

Learn more at smarterdx.com/careers.

This role is fully remote within the US

What You’ll Do

  • Craft, implement, and maintain MLOps tools and practices, including continuous integration, delivery, and monitoring of machine learning systems.

  • Optimize model performance and scalability, ensuring high reliability and efficiency.

  • Build tools to improve the lives of our data scientists.

  • Contribute to the design and architecture of our ML systems.

What You Bring

  • 10+ years of development experience with a focus on Machine Learning and MLOps roles
  • Strong proficiency in Python and SQL, with experience in machine learning libraries (Pytorch, Tensorflow)
  • Experience with deploying and managing ML models in production environments, including familiarity with Docker, Kubernetes, or similar technologies.

  • Understanding of CI/CD best practices for machine learning, including automated testing and deployment pipelines.

  • Experience with cloud platforms (preferably AWS) and their machine learning services.

  • Experience project managing a small team using a modern agile methodology
  • Experiencing influencing a cross-disciplinary organization to adopt best practices
  • Familiarity with infrastructure as code (e.g., CDK, Terraform) and configuration management tools.

  • Strong understanding of data engineering and architecture principles.

  • Excellent collaboration and communication skills, with a passion for solving challenging problems in a team environment.

Nice To Haves

  • You're a former startup founder, or have been the first engineering hire at a startup
  • Experience in the health tech domain, particularly in hospital billing systems
  • Experience with end-to-end machine learning project lifecycle, from data collection and model training to deployment and monitoring.

  • Deployment of LLM systems into Production environments.

  • Contributions to open-source projects or active participation in the machine learning community.

  • Python, PyTorch, pandas/Polars, Airflow, Snowflake, dbt, AWS, MLflow, Sagemaker, Terraform, K8s

Compensation

$230-270k base + equity incentives

  • Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 90-100% of your premiums and 70-90% for dependents, depending on the plan.

  • One Medical Membership – Free membership included if you enroll in a SmarterDx medical plan.

  • Paid Parental Leave – Up to 12 weeks of paid leave for birth or adoption.

  • Remote-First Team – Work from anywhere in the U.S. with a $400 home office reimbursement stipend.

  • Unlimited PTO & 10 Holidays – 4 of which include floating holidays so you can recognize the days that matter most to you.

  • Learning & Development Budget – $500 per year (prorated) for courses, books, and resources to expand your skills.

  • 401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Empower.

  • Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters.

  • Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.

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Required Skill Profession

Software Architecture & Engineering


  • Job Details

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Unlock Your Staff Software Potential: Insight & Career Growth Guide


Real-time Staff Software Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Staff Software in WorkFromHome, New Zealand, highlighting market share and opportunities for professionals in Staff Software roles.

5094 Jobs in New Zealand
5094
4238 Jobs in Workfromhome
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Download Staff Software Jobs Trends in Workfromhome and New Zealand

Are You Looking for Staff Software Engineer, Machine Learning Job?

Great news! is currently hiring and seeking a Staff Software Engineer, Machine Learning to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at SmarterDx adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying New Zealand laws and regulations

What Is the Average Salary Range for Staff Software Engineer, Machine Learning Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Staff Software Engineer, Machine Learning?

Key qualifications for Staff Software Engineer, Machine Learning typically include Software Architecture & Engineering and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Staff Software Engineer, Machine Learning?

To improve your chances of getting hired for Staff Software Engineer, Machine Learning, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Staff Software Engineer, Machine Learning Job Success

SmarterDx interview tips for Staff Software Engineer, Machine Learning

Here are some tips to help you prepare for and ace your Staff Software Engineer, Machine Learning job interview:

Before the Interview:

Research: Learn about the SmarterDx's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Staff Software Engineer, Machine Learning interview at SmarterDx, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the SmarterDx's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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