Software Engineer II - Machine Learning

TCP is committed to cultivating a diverse and inclusive team. However, we are not able to sponsor visas for this role. 

About TCP (TimeClock Plus):

For more than 30 years, TCP has helped organizations engage their people by providing flexible, mobile timekeeping and workforce management solutions. Trusted by tens of thousands of customers and millions of users, TCP delivers best-in-class technology and personalized support to organizations of all sizes in the public and private sector to meet their complex timekeeping, employee scheduling, leave management and other workforce needs. Growth is happening and our vision for a successful future is clear - We'd love for you to join us on this journey! For more information on TCP, visit www.tcpsoftware.com or follow us on LinkedIn or Facebook.  
About the Role: We are seeking a passionate and skilled Machine Learning Engineer to work on developing and improving our AI-powered solutions. This position will involve training production models for a variety of machine learning tasks such as forecasting, anomaly detection, and event prediction, as well as leveraging cutting-edge libraries and technologies to build efficient and scalable systems. 
As a Software Engineer - Machine Learning, you will:

• Train and deploy production-level machine learning models focused on: 
• Forecasting 
• Anomaly Detection 
• Event Prediction 
• Develop and implement machine learning algorithms, ensuring their scalability, performance, and robustness. 
• Create agentic language model based user experiences. 
• Work with large datasets, process and analyze data using tools like Pandas and Numpy. 
• Use modern deep learning frameworks such as Pytorch to implement and optimize models. 
• Integrate machine learning models into the company’s Time and Attendance and Employee Scheduling software. 
• Collaborate with cross-functional teams to solve complex business challenges through AI/ML solutions. 
• Optimize and fine-tune models for performance in real-world production environments. 

• 2+ years of experience in training and deploying production models;
• 2+ years of experience with the following libraries:  
  
• Pytorch 
• Pandas 
• Numpy 
  
• Hands-on experience with language models;
• Solid understanding of the following model architectures: 
• Transformers 
• RNN (Recurrent Neural Networks) 
• S4 | Mamba 
• LSTM (Long Short-Term Memory Networks) 

Strongly Encouraged: 

• Familiarity with advanced machine learning concepts, including: 
• State Space Modeling (S4, Mamba) 
• Hidden Markov Models (HMMs) 
• BEAM Search 
• Human Feedback Reinforcement Learning (RLHF) 
• Relationship Graph Theory 
• Automatic Prompt Optimization 
• Worked on language model user experiences using: 
• DSPy 
• LangChain 

• Full remote work, with the option to work from the office, based on personal preference.
• Personalised and individual benefits plan. 
• Competitive salary based on experience.
• Voluntary Health insurance plan.  
• International working environment.
• 8 hours to volunteer and impact the community.
• The work/life setup you need to be successful.
• The opportunity to work with amazing talent in a fast-growing company that really values their team.