ML Engineer III

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 ML Engineer III to join the Data Science team at 6sense. This role is ideal for someone with a strong foundation in machine learning NLP and applied AI who can independently solve business problems and deliver production-ready solutions.

Asa ML Engineer III you will work closely with senior ML engineers product managers engineers and business stakeholders to build intelligent systems that improve customer outcomes and drive business impact. You will contribute across the full machine learning lifecycle from problem formulation and experimentation to deployment and monitoring.

The ideal candidate is technically strong curious execution-focused and eager to work on modern AI systems including LLM-powered applications retrieval systems and intelligent automation workflows.

What Youll Do :

• Design develop and deploy machine learning models and AI solutions for business and customer-facing applications.
• Build and optimize NLP and transformer-based models for classification ranking recommendation prediction and retrieval use cases.
• Contribute to GenAI and Agentic AI initiatives including RAG pipelines prompt engineering tool usage and workflow orchestration.
• Perform data exploration feature engineering model training evaluation and performance analysis.
• Develop scalable data pipelines and production workflows for model training and inference.
• Work with structured and unstructured data sources to generate actionable insights and build predictive systems.
• Partner with Product Engineering and Analytics teams to translate business requirements into technical solutions.
• Monitor model performance in production and contribute to model retraining evaluation and continuous improvement processes.
• Participate in design reviews experimentation and technical discussions to improve system quality and reliability.
• Document solutions communicate findings and present recommendations to both technical and non-technical stakeholders.
• Contribute to best practices in machine learning development testing deployment and observability.

What Were Looking For :

Required Qualifications :

• 46 years of experience building and deploying machine learning systems in production environments.
• Strong foundation in machine learning statistics experimentation and applied data science.
• Experience developing predictive models recommendation systems classification models ranking models or related ML applications.
• Hands-on experience with NLP techniques embeddings transformer models and retrieval systems.
• Experience working with Python and common machine learning libraries such as Scikit-learn PyTorch TensorFlow XGBoost or similar.
• Experience working with distributed data processing frameworks such as Spark or Databricks.
• Familiarity with model deployment monitoring and ML lifecycle management.
• Ability to independently execute projects with moderate ambiguity and deliver high-quality solutions.
• Strong problem-solving analytical thinking and communication skills.
• Ability to collaborate effectively across Data Science Product and Engineering teams.

Preferred Qualifications :

• Experience working with LLMs prompt engineering RAG systems or agentic AI workflows.
• Familiarity with LangGraph LangChain Amazon Bedrock OpenAI Anthropic or similar AI platforms.
• Experience with vector databases embeddings and semantic search systems.
• Experience with cloud platforms such as AWS.
• Experience in B2B SaaS MarTech AdTech or customer-facing AI products.
• Contributions to technical blogs open-source projects research publications or internal technical communities.

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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