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Staff Machine Learning Engineer

MyFitnessPal aims to be the most trusted brand for improving health through better food choices, and is seeking a Staff Machine Learning Engineer to lead the development of AI products.

Skills

  • Machine Learning
  • Data Science
  • AI Technologies
  • Python
  • SQL

Responsibilities

  • Lead the technical implementation of AI products
  • Design, build, and maintain ML models and MLOps systems
  • Mentor and support data science team members
  • Collaborate with cross-functional teams to deliver impactful solutions

Education

  • Master’s degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics or related field

Benefits

  • Healthcare benefits
  • Parental planning
  • Mental health benefits
  • 401(k) plan and match
  • Flexible time-off policy
To read the complete job description, please click on the ‘Apply’ button
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Average salary estimate

$192500 / YEARLY (est.)
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max
$170000K
$215000K

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What You Should Know About Staff Machine Learning Engineer, MyFitnessPal

At MyFitnessPal, we're on a mission to transform health through better food choices, and we're looking for a passionate Staff Machine Learning Engineer to join our dynamic Data Science team. In this remote role, you will take charge of designing and implementing advanced AI products that directly impact our users' health journeys. Your expertise in machine learning and data science will shine as you lead the development of cutting-edge recommendation systems and search features that engage millions of users daily. Your collaborative spirit will be essential as you work within an inclusive environment, mentoring fellow engineers and data scientists while embracing feedback and fostering growth. With 7+ years of experience in machine learning under your belt, you're equipped to tackle technical challenges and make data-driven decisions. Whether you're building scalable models or refining existing systems for efficiency, your contributions will be vital to our success. If you're excited about making a difference in people's lives through technology and enjoy working in a flexible, supportive culture, then this Staff Machine Learning Engineer position at MyFitnessPal is the perfect opportunity for you!

Frequently Asked Questions (FAQs) for Staff Machine Learning Engineer Role at MyFitnessPal
What are the responsibilities of the Staff Machine Learning Engineer at MyFitnessPal?

As a Staff Machine Learning Engineer at MyFitnessPal, you will lead the technical implementation of innovative AI products. Responsibilities include designing and maintaining production-grade ML models, guiding the development of recommendation systems, and collaborating with cross-functional teams to ensure best practices in coding, DataOps, and testing. You'll also mentor fellow engineers and data scientists, driving their professional growth.

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What qualifications are required for the Staff Machine Learning Engineer role at MyFitnessPal?

To be successful as a Staff Machine Learning Engineer at MyFitnessPal, candidates should have 7+ years of machine learning experience in a production setting, extensive expertise in recommendation systems and NLP, as well as proficiency in programming languages like Python and SQL. A Master's degree or Ph.D. in Computer Science or related fields is preferred, along with excellent communication skills.

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How does the Staff Machine Learning Engineer contribute to MyFitnessPal's mission?

The Staff Machine Learning Engineer at MyFitnessPal plays a crucial role in driving user engagement through the development of AI and ML features that enhance the overall user experience. By designing robust machine learning models, they directly contribute to personalized health solutions, aligning with MyFitnessPal's mission of helping people make healthy choices.

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What kind of team culture can the Staff Machine Learning Engineer expect at MyFitnessPal?

At MyFitnessPal, the culture emphasizes collaboration, mentorship, and inclusivity. The Staff Machine Learning Engineer will work alongside a diverse team of talented professionals who value innovation, continuous learning, and supportive personal connections. Expect an environment that thrives on trust, accountability, and encouraging growth.

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What opportunities for professional growth are available for the Staff Machine Learning Engineer at MyFitnessPal?

The Staff Machine Learning Engineer at MyFitnessPal will have abundant opportunities for professional growth through mentorship programs, access to training resources, and the chance to collaborate on impactful projects. The company fosters a culture that champions individual development and supports career advancement.

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Common Interview Questions for Staff Machine Learning Engineer
Can you describe your experience with recommendation systems in the context of the Staff Machine Learning Engineer role?

In my previous role, I led a project to design and optimize a recommendation system that directly increased user engagement. I used collaborative filtering and deep learning techniques to analyze user behavior and preferences. My experience demonstrates my ability to apply ML frameworks that align with MyFitnessPal's goals.

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What machine learning frameworks are you familiar with, and how have you applied them?

I have extensive experience with TensorFlow, PyTorch, and Scikit-learn. For instance, I utilized TensorFlow to develop a deep learning model for image classification, enhancing product recommendations based on visual content. I am always eager to explore and implement the latest frameworks to optimize our systems.

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How do you approach collaboration within a team of engineers and data scientists?

I believe in transparent communication and fostering a collaborative team environment. I regularly set up meetings to discuss project updates and encourage brainstorming sessions. This approach has led to innovative solutions and strengthened team cohesion in my past projects.

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What strategies do you employ for deploying ML models into production?

My strategy involves thorough testing and validation of models before deployment, using MLOps practices for continuous integration and delivery. I ensure that the models can handle large-scale data inputs and can perform reliably in a live environment, regularly monitoring their performance post-deployment.

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Describe a challenge you've faced in data science and how you overcame it.

In a previous project, we faced data sparsity issues affecting our recommendation model. I addressed this by incorporating additional data sources and leveraging transfer learning techniques. This improved model accuracy and engagement metrics significantly, demonstrating my problem-solving abilities.

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How do you ensure data quality in machine learning projects?

I maintain data quality through automated data validation processes and routine audits. Establishing quality assurance protocols at every project phase is crucial, and I regularly collaborate with data engineering teams to ensure clean, reliable datasets for modeling at MyFitnessPal.

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Can you explain your experience with performance metrics in machine learning?

I frequently use metrics such as precision, recall, and AUC-ROC to evaluate model performance. I also focus on business impact metrics to ensure that our models deliver measurable value, aligning with MyFitnessPal's objectives of enhancing user experience and engagement.

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What is your approach to mentoring junior data scientists and ML engineers?

I prioritize a hands-on mentoring approach, providing guidance on both technical and analytical skills. I encourage junior team members to lead small projects and present their findings, creating a supportive learning environment where they can grow their competencies confidently.

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How do you stay current with advancements in machine learning and artificial intelligence?

I stay updated through continuous learning—reading research papers, attending conferences, and participating in online courses. Engaging in community forums also allows me to share knowledge and learn from peers, fostering innovation in our projects at MyFitnessPal.

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What role do you think AI plays in the future of health and fitness applications?

AI will be transformative in health and fitness apps, enabling personalized experiences and smarter recommendations based on user data. As a Staff Machine Learning Engineer at MyFitnessPal, my goal would be to leverage AI to enhance user engagement and overall health outcomes, driving our mission forward.

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MyFitnessPal provides powerful tools that make it easier for everyone to live a healthier life by tracking meals and physical activity. Join the team that is changing the lives of millions http://myfitnesspal.com/jobs MyFitnessPal is a finalist...

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SALARY RANGE
$170,000/yr - $215,000/yr
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
March 4, 2025

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