Sr. Machine Learning Engineer

Our Mission:

6senses mission is to multiply what matters: growth retention and efficiency. We envision a future where companies teams and people reach their full potential.

Our People:

People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team Stay Curious Do The Right Thing Own the Outcome and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves take risks act with integrity and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career.

About the Role

We are looking for a Senior Machine Learning Engineer to join the Data Science team at 6sense. This role is ideal for someone who combines strong data science fundamentals with deep expertise in building applied machine learning NLP and modern GenAI systems.

You will work on building scalable AI-powered products and intelligent systems that directly impact customer experience and business outcomes. The ideal candidate is technically strong product-oriented and capable of thinking end-to-end from problem framing and experimentation to productionization monitoring and long-term evolution of AI systems.

What Youll Do

• Design build and deploy production-grade ML and AI systems powering core product capabilities
• Develop and optimize NLP and transformer-based solutions for enterprise-scale use cases
• Build agentic AI workflows using frameworks such as LangGraph and LangChain
• Work across the full ML lifecycle including data exploration feature engineering model development evaluation deployment and monitoring
• Apply statistical and machine learning techniques to solve ranking recommendation prediction classification and optimization problems
• Partner closely with ProductEngineering and Data Analyticsteams to translate ambiguous business problems into scalable AI solutions
• Drive end-to-end ownership across experimentation evaluation deployment monitoring and iteration
• Improve reliability latency scalability and observability of ML systems in production
• Contribute to architectural decisions and help define best practices for AI-native application development
• Mentor junior engineers and contribute to raising the technical bar across the team.

What Were Looking For

Required Qualifications

• 5 years of experience in building and deploying machine learning systems in production environments
• Strong foundation in machine learning statistics and applied data science
• Experience with supervised and unsupervised learning techniques recommendation systems ranking models and predictive modeling
• Strong experience with NLP transformer architectures embeddings encoders-decoder modelsand retrieval-based systems
• Hands-on experience with LLM application frameworks such as LangGraphLangChain Amazon Bedrock
• Strong programming skills in Python and experience with modern ML/AI tooling ecosystems
• Experience building scalable distributed systems and production ML pipelinesinDatabricksand AWS ecosystem
• Strong understanding of data quality feature engineering and model operationalization
• Ability to independently drive ambiguous problems from concept to production
• Strong product mindset with the ability to think holistically about user experience business impact and system design

Preferred Qualifications

• Experience building agentic AI systems and multi-agent workflows
• Familiarity with RAG architectures vector databases and prompt engineering
• Experience with deep learning frameworks such as PyTorch or TensorFlow
• Experience in B2B SaaS or customer-facing AI products

Our Benefits:

Full-time employees can take advantage of health coverage paid parental leave generous paid time-off and holidays quarterly self-care days off and stock options. Well make sure you have the equipment and support you need to work and connect with your teams at home or in one of our offices.

We have a growth mindset culture that is represented in all that we do from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events we celebrate and energize all 6sense employees and their backgrounds.

Equal Opportunity Employer:

6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender perception or identity national origin age marital status protected veteran status or disability status. If you require reasonable accommodation in completing this application interviewing completing any pre-employment testing or otherwise participating in the employee selection process please direct your inquiries to .

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