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Staff Software Engineer

$145,000 - $240,000/year
9 Jul 2025
Burlingame, CA, USA
Verified by Turrior

Content + Source + Freshness • 11 Dec 2025 • 95% confidence

85 / 100

Offer value

A leading position in AI and machine learning within healthcare, with substantial earning potential and significant impact on innovative solutions.

  • Compensation: $145,000 to $240,000 based on expertise
  • Direct impact on healthcare innovations
  • Work with pioneering AI technologies
  • Requires substantial machine learning experience
Pros
  • High salary range tailored to expertise and impact
  • Opportunity to shape AI strategy in healthcare
  • Work with advanced language models and technologies
Cons
  • Requires deep expertise in AI/ML which may limit candidates
  • Fast-paced environment might not suit all professionals
  • High performance expectations from day one

Who it's for

Mid to Senior • On-site/Remote hybrid

Good fit
  • Established AI/ML professionals
  • Individuals passionate about healthcare advancements
  • Candidates eager to innovate with technology
Not recommended for
  • Beginners in AI/ML without relevant skills
  • Those preferring structured, routine tasks
  • Candidates not interested in heavy industry impact

Motivation fit

Desire to innovate with cutting-edge technologyInterest in driving efficiency in healthcare through AINeed for challenging and impactful work

Key skills

Expertise in large language modelsProficiency in Python and AI frameworksStrong problem-solving capabilities
Score: 85/100 AI verified analysis

About the job

SuperDial is looking for a Staff Software Engineer, Machine Learning passionate about leveraging large language models (LLMs) to power innovative solutions in healthcare. If you love optimizing and fine-tuning LLMs, building AI-driven applications, and working with best-in-class tools like Langfuse and TensorZero, this is the role for you.

About the Role:

  • Design, develop, and deploy AI-driven solutions that enhance business-critical workflows.

  • Optimize and fine-tune LLMs for performance, scalability, and accuracy.

  • Collaborate with cross-functional teams, including product and engineering, to integrate AI capabilities into core products.

  • Ensure high reliability and efficiency of AI systems in production environments.

  • Stay ahead of advancements in AI/ML technologies, applying relevant innovations to improve SuperDial’s product suite.

  • Research and develop new applications for voice AI and LLM-powered solutions.

About You:

  • 5+ years of experience in software engineering with a focus on AI/ML applications.

  • Proven experience implementing and scaling LLM-powered workflows, using tools like Langfuse, TensorZero, or similar.

  • Strong programming skills in Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).

  • Experience deploying AI solutions on cloud platforms (AWS, Azure, GCP).

  • Strong problem-solving skills and a passion for AI innovation.

Preferred Qualifications:

  • Expertise in voice AI, including speech recognition, natural language understanding, and conversational AI.

  • Experience in healthcare or SaaS industries.

What’s in it for you?

• The opportunity to make a meaningful impact in a fast-growing AI-driven healthcare startup.

• Significant responsibility from Day 1, with the chance to shape our AI strategy and product development.

• Competitive salary, equity options, and benefits, including health, dental, and vision coverage.

Who we are:

SuperDial is transforming AI in healthcare, focusing on revenue cycle management solutions that drive efficiency and impact. Our team is committed to building cutting-edge AI applications that redefine the industry. Join us and help shape the future of AI in healthcare!

The base salary for this role ranges from $145,000 to $240,000, depending on experience, skill set, and fit. We also offer equity and benefits as part of our total compensation package. Final offers may vary based on experience and qualifications - we’re always open to exceptional talent.

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