Machine Learning Engineer

About hireworks

hireworks is building a community of top talent in Bulgaria and unlocking unparalleled access to positions at leading U.S.-based companies. As your employer, hireworks will ensure you have a seamless interview, onboarding, and employee experience—providing ongoing support and resources along the way. Established in 2023, hireworks is forging corp-to-corp relationships with leading U.S. organizations looking to grow their teams with best-in-class talent out of Bulgaria. Working with hireworks means joining a network of peers, mentors, and long-term career opportunities.

About our Client

Our client is a pioneering "Native AI" enterprise operations startup focused on the emerging field of Workflow Intelligence. The company builds sophisticated AI-driven infrastructure that provides deep visibility into how work moves through an organization, enabling enterprises to optimize team time and automate complex processes. As a high-velocity, engineering-heavy team, they're scaling rapidly to solve non-trivial technical challenges—ranging from native macOS/Windows system integration to advanced ML and data platforms—seeking high-ownership "founding-level" talent who thrive in a fast-paced environment and prioritize clean architecture and mission-critical execution.

About the Role

As a Machine Learning Engineer, you will build the core learning systems that power predictive capabilities. Youll work hands-on with real-world behavioral and workflow datasets—training, fine-tuning, evaluating, and operationalizing models that surface key insights into how teams operate. This is a foundational role that spans experimentation through production deployment, collaborating closely with engineers, product teams, and the founder.

What You'll Do

• Train, fine-tune, and evaluate machine learning models on workflow, behavioral, and productivity data
• Build predictive models for task outcomes, throughput, productivity trends, capacity forecasting, and workflow optimization
• Fine-tune foundation models for domain-specific classification, embedding, and similarity tasks
• Design and maintain feature pipelines, training loops, and evaluation frameworks
• Work with backend engineers to integrate trained models into production systems
• Support the deployment and monitoring of inference services, leveraging feedback loops for continuous improvement
• Partner with product to translate messy real-world data into useful signals that improve decision-making

About You

• Strong foundation in Python and applied machine learning

• Experience training supervised and/or self-supervised models

• Hands-on experience with model fine-tuning, evaluation, and deployment workflows

• Comfortable owning work end-to-end—from raw data to training to production inference

• Pragmatic, curious, experimental, and motivated by shipping models that actually get used

Bonus Points

• Experience fine-tuning LLMs or related embedding models
• Familiarity with PyTorch, TensorFlow, JAX, or similar framework
• Experience with time-series forecasting, behavioral modeling, or graph-based learning
• Background working with messy product data or analytics pipelines
• Exposure to MLOps (e.g., model serving, evaluation tooling, data versioning)

Benefits

hireworks is cultivating a growing community of top talent across Colombia, Argentina or Bulgaria. In addition to unlocking access to positions at top tier U.S. based companies, we offer a variety of benefits to enhance your experience:

• Competitive Pay – compensation that reflects your experience and accomplishments.
• Remote Flexibility – work from anywhere within your local country (Colombia, Argentina or Bulgaria), with the option to use co-working space as available locally.
• Paid Time Off – ample vacation days to rest and recharge.
• Public Holidays – all local federal holidays are fully paid days off.