Easy Apply
Easy Apply
Similar Jobs
Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
The Senior Software Engineer will develop ML training pipelines, maintain cloud systems, and optimize the ML lifecycle for dental products.
Top Skills:
AWSAzureDockerGCPKubernetesPythonPyTorchTensorFlow
Healthtech
The Senior Software Engineer I role involves developing scalable solutions, mentoring junior engineers, and collaborating on technical roadmaps within the healthcare industry.
Top Skills:
AWSAzureGCPMachine Learning AlgorithmsSQLStatistical Data TechniquesWeb Application Development
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead novel ML research and development for medical applications, design and deploy deep learning and transformer-based models, mentor junior data scientists, partner with engineering and product to deliver production solutions, monitor model performance, and ensure ethical, safe model behavior.
Top Skills:
AWSAzuremlCluster ComputingDeep LearningLlmsNlpPythonRSQLTransformer Architectures
Chartbeat Inc. is the parent company of Chartbeat, Tubular Labs, FatTail, and Lineup Systems. Together, we’re shaping the future of media strategy and revenue. Trusted by the world's top media brands, Chartbeat, Inc. combines analytics that power smarter audience strategies with revenue solutions that simplify ad operations and accelerate monetization.
Our mission is to help customers grow valuable media brands with their content. Join our diverse group of focused, hardworking professionals who are passionate about doing work that’s challenging and fun — and who strive to maintain a healthy work/life balance.
The Team
We are passionate about large-scale data systems, leveraging best-in-class technologies such as Snowflake, Kubernetes, Kafka, and Python. Machine Learning is a vital part of Chartbeat’s Data Engineering organization, focused on curating, enriching, and modeling data to power intelligent features, drive product discovery, and apply Large Language Models (LLMs) to real-world applications and strategic business decisions.
Responsibilities
As a Machine Learning Engineer at Chartbeat, you will:
- Contribute the design, development, and deployment of machine learning systems at scale
- Collaborate with product managers and cross-functional engineering teams to deliver ML and generative AI powered features
- Explore, Experiment and Prototype upcoming generative AI technologies to solve complex business challenges
- Help define and drive the technical roadmap for ML and AI initiatives
- Deploy with the help of cross functional Eng and Infra teams to build and deploy models that are explainable, maintainable, and effectively monitored in production
- Contribute to architectural decisions and long-term planning for ML infrastructure
- Participate in the engineering on-call rotation to maintain the reliability and performance of production systems
About You
- 5+ years working as a machine learning engineer, ideally within a B2B SaaS environment
- Experience in training, building, and deploying machine learning models in production is essential
- Strong Python proficiency
- Proficiency with advanced SQL querying and knowledge of common data warehouse environments, such as Snowflake, or similar
- Experience working with modern ML and data tooling (Such as PyTorch, TensorFlow, Spark and MLFlow)
- Experience implementing and scaling LLMs or foundation models in production environments is a plus
- Experience working with data pipelines that support multi tenant usages with different databases (such as Snowflake/BigQuery etc) for large, high-scale applications
- Theoretical knowledge of statistical and machine learning algorithms, as evidenced by an undergraduate or graduate degree in a mathematics, computer science, or engineering-related discipline
Compensation and Benefits:
We are proud to offer our team members a competitive compensation plan that includes:
- Comprehensive Health, Dental, and Vision Insurance
- 401K with company match (100% of the first 3% and 50% of the next 2%)
- Fully Paid Parental Leave - 18 weeks for birthing parents, 12 weeks for non-birthing parents
- Phone and internet stipend
- Wellness, learning, and coworking reimbursements
- Flexible work hours
- Unlimited PTO
- 11 paid holidays and December holiday closure
- Company-wide outings
- The compensation range for this position is $170,000 - $185,000
Diversity, Equity, and Inclusion Statement
At Chartbeat we strive to create and continually grow as a company where all employees are able to be their authentic selves. We are committed to recruiting, hiring, and retaining employees from different backgrounds, viewpoints, and experiences. Our strength is our diversity and we are dedicated to continuously reflect upon, and evolve our efforts to maintain a diverse, equitable and inclusive ecosystem.
Equal Opportunity Employment Statement
Chartbeat is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.
Chartbeat's CCPA disclosure notice can be found here.
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
