Introduction to blithequark
At the forefront of innovation in medical imaging, blithequark is revolutionizing the field with the development of the first multimodal AI foundation model. Our deep learning platform, distinguished by its proprietary privacy-compliant trust architecture, seamlessly integrates diverse data sources with cutting-edge AI/ML development. Co-founded by a visionary leader with a prolific background in founding and leading innovative companies, blithequark is poised to transform the medical imaging landscape. As a pioneer in this field, we are committed to harnessing the power of AI to improve clinical outcomes and enhance patient care.
Role Overview
We are seeking an exceptional Machine Learning Customer Solutions Engineer to join our team. As a critical member of our customer-facing team, you will play a pivotal role in supporting healthcare organizations in integrating our machine learning foundation models into their radiological clinical software. Your expertise will be instrumental in assisting with model fine-tuning, prompt engineering, and pre-sales activities, including delivering demos to potential clients. This role demands a unique blend of technical expertise, client engagement, and strong collaboration and communication skills to ensure successful implementation and optimal clinical outcomes.
Key Responsibilities
- Fine-Tuning:
- Collaborate with clients to fine-tune foundation models for specific radiology tasks, such as anomaly detection and image segmentation, utilizing various fine-tuning methodologies, including prompt engineering and parameter-efficient fine-tuning.
- Pre-Sales Support and Demos:
- Partner with our client experience team to deliver demos and facilitate technical discussions, highlighting the capabilities of our foundation models to potential clients and showcasing their value in real-world applications.
- Client Support and Integration:
- Serve as the primary technical contact for our clients, working closely with application developers to implement solutions using our foundation models and ensuring seamless integration into their existing workflows.
- Workflow Optimization:
- Ensure that AI models are tailored to fit seamlessly into radiological workflows, optimizing outputs for clinical decision-making and improving patient outcomes.
- Cross-Functional Collaboration:
- Work closely with our product, engineering, and client engagement teams to address client needs and feedback, fostering a collaborative environment that drives innovation and excellence.
- Assist in translating complex technical findings into actionable insights and recommendations for non-technical stakeholders, contributing to impactful business decisions that propel our mission forward.
- Documentation:
- Assist in the development of technical materials, including integration guides, training documents, and best practices for model fine-tuning, ensuring that our clients have the resources they need to succeed.
- Solicit, summarize, and document platform and tooling requirements and feature requests for our product development team, driving continuous improvement and innovation.
- Prepare model details for client regulatory documentation, ensuring compliance and transparency in all aspects of our work.
Essential Qualifications
- Experience: 7-10 years of total experience, including 3-5 years in a technical client-facing role, with previous experience working on machine learning projects and industry knowledge of standard technologies in the machine learning space.
- Technical Skills: Proficiency in Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and understanding of radiological software (PACS, DICOM), with a strong foundation in computer science and software engineering principles.
- Communication: Strong ability to explain and present complex technical concepts to both technical and non-technical stakeholders, with excellent written and verbal communication skills.
- Education: B.S. degree in a quantitative field, such as Computer Science, Engineering, or a comparable degree/experience, with a strong academic record and a passion for learning and growth.
Preferred Qualifications
- Experience with Generative LLM Fine-Tuning and Prompt Engineering: Familiarity with fine-tuning large language models and prompt engineering techniques, with a deep understanding of their applications and limitations.
- Experience with Cloud Native Architecture: Knowledge of machine learning model development and deployment in a cloud-native environment, with experience working with containerization, orchestration, and serverless computing.
- Experience with RESTful APIs and Radiology Workflow Orchestration Tools: Familiarity with RESTful APIs, radiology workflow orchestration tools, and medical interoperability standards, with a strong understanding of their role in integrating AI models into clinical workflows.
- Familiarity with Pre-Sales Processes: Experience with pre-sales processes, including delivering demos, gathering requirements, and customizing solutions for clinical environments, with a strong understanding of the sales cycle and the importance of building strong relationships with clients.
- Previous Experience in a High-Growth Stage Team: Experience working in a team that has undergone rapid growth, with a strong understanding of the challenges and opportunities that come with scaling a business.
Career Growth Opportunities and Learning Benefits
At blithequark, we are committed to the growth and development of our team members. As a Machine Learning Customer Solutions Engineer, you will have the opportunity to work on cutting-edge projects, collaborate with a talented team of professionals, and develop your skills in a rapidly evolving field. We offer a comprehensive training program, mentorship opportunities, and a culture of continuous learning, ensuring that you have the resources you need to succeed and grow in your career.
Work Environment and Company Culture
Our work environment is dynamic, collaborative, and supportive, with a strong focus on innovation, creativity, and teamwork. We believe in fostering a culture of inclusivity, diversity, and respect, where everyone feels valued and empowered to contribute their best work. As a member of our team, you will be part of a community that is passionate about making a difference in the lives of others, and you will have the opportunity to make a meaningful impact on our mission to improve patient outcomes through AI-powered medical imaging.
Compensation, Perks, and Benefits
We offer a competitive salary and benefits package, including comprehensive health insurance, retirement savings, and paid time off. Our perks include access to cutting-edge technology, a flexible work environment, and opportunities for professional growth and development. We believe in recognizing and rewarding outstanding performance, and we offer a range of incentives and bonuses to motivate and inspire our team members.
Conclusion
If you are a motivated and talented Machine Learning Customer Solutions Engineer looking for a challenging and rewarding role, we encourage you to apply to join our team at blithequark. As a key member of our customer-facing team, you will have the opportunity to make a meaningful impact on our mission to improve patient outcomes through AI-powered medical imaging. With a strong focus on innovation, collaboration, and continuous learning, we offer a dynamic and supportive work environment that will challenge you to grow and develop as a professional. Apply now to take the first step in an exciting and rewarding career with blithequark.
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