Junior Machine Learning Engineer Remote Role

Empower the Future of Intelligent Systems

Are you passionate about building intelligent models that solve real-world problems? Do you dream of being part of a high-impact, fully remote team redefining innovation through machine learning? We're seeking a Junior Machine Learning Engineer to join our cutting-edge AI initiatives and help shape the future of innovative technologies. If you thrive in a collaborative setting and love transforming data into intelligent action, this opportunity is designed for you.

What You’ll Be Doing

Designing and Training Smart Models

• Partner with experienced developers to architect, implement, and launch machine learning algorithms.
• Train and test supervised, unsupervised, and reinforcement learning models to improve product performance.
• Conduct feature selection, data augmentation, and model tuning for optimal outcomes.

Data Exploration and Preprocessing

• Collect, clean, and transform complex datasets to support model development.
• Techniques like dimensionality reduction and outlier detection can be used to refine input pipelines.
• Identify data discrepancies and contribute to the accuracy of predictive solutions.

Continuous Model Optimization

• Implement automated pipelines for retraining models based on performance monitoring.
• Analyze model drift and assist in developing scalable retraining schedules.
• Use statistical metrics like F1 score, recall, and AUC-ROC to evaluate accuracy.

Collaboration Across Functions

• Work closely with software engineers, product managers, and data scientists.
• Participate in daily scrums, sprint planning, and team retrospectives to align project goals.
• Share findings and insights via visual dashboards, model cards, and interactive reports.

Your Professional Environment

• 100% remote role with a globally distributed tech-savvy team.
• Agile methodology with bi-weekly sprints and asynchronous workflows.
• Supportive and inclusive engineering culture focused on mentorship and growth.
• Emphasis on continuous learning through regular tech talks and coding challenges.

The Tools and Technologies You’ll Use

We embrace a rich stack of modern tools and frameworks that fuel our innovation:

• Programming Languages: Python (NumPy, pandas, scikit-learn), R, and occasional use of Julia.
• Frameworks: TensorFlow, PyTorch, Keras for model development.
• Data Platforms: AWS S3, Snowflake, BigQuery, and PostgreSQL for data handling.
• Development Tools: Git, Jupyter Notebooks, Docker, and MLflow for streamlined experimentation.
• Visualization: Plotly, Seaborn, and Matplotlib for creating interactive visual insights.
• Deployment: FastAPI, Flask, and RESTful API integration into production systems.

Who You Are

Skills & Qualifications

• Bachelor's degree in Computer Science, Data Science, Mathematics, or a related technical field.
• Foundational understanding of statistics, linear algebra, and probability.
• Hands-on familiarity with ML toolkits like scikit-learn or similar frameworks or XGBoost.
• Familiarity with data wrangling tools and version control practices.
• Skill in conveying intricate technical concepts into practical, understandable outcomes.

Preferred Traits

• Curious and driven by continuous learning.
• Comfortable working independently and managing your time in a remote-first setup.
• Enthusiastic about applying ML to fields like automation, user behavior prediction, or NLP.
• Experience with Kaggle, GitHub repositories, or academic research is a plus.

Growth Opportunities

• Gain exposure to advanced AI projects ranging from computer vision to recommendation engines.
• Access internal resources and sponsored courses on cloud computing and deep learning.
• Opportunity to transition into mid-level roles like Machine Learning Engineer or Data Scientist within 18–24 months.
• Work on open-source projects that contribute to the global ML community.

Why You’ll Love Working Here

Culture of Innovation

• We believe experimentation is the pathway to breakthrough technology.
• Innovation sprints, hackathons, and cross-team ideation are part of our DNA.

Meaningful Impact

• Your models will directly improve user experiences, drive automation, and unlock predictive power for thousands of users worldwide.

People-First Approach

• Flexible work hours tailored to your timezone.
• Mental wellness allowance and career coaching support.
• Transparent communication and regular team check-ins to keep everyone aligned.

By the Numbers

• 93% employee satisfaction rate based on our latest internal survey.
• 35TB of structured and unstructured data processed monthly.
• 48% faster model deployment after adopting containerized ML pipelines.
• 4.8/5 Glassdoor rating highlighting our supportive engineering leadership.

What Success Looks Like in 6 Months

• Successfully trained and validated multiple regression and classification models.
• Built data preprocessing pipelines that reduce ETL time by 20%.
• Presented findings from exploratory data analysis (EDA) to stakeholders with visual storytelling.
• Contributed to code reviews and documented key parts of the model lifecycle.

Annual Compensation

USD 116,888 — competitive salary aligned with remote tech industry standards, plus potential bonuses.

Ready to Launch Your Machine Learning Career?

We’re looking for curious minds who want to engineer intelligent systems that empower real-world applications. As a Junior Machine Learning Engineer, your curiosity, analytical mindset, and code will be the building blocks of more innovative technology. Join a team that values technical excellence, authenticity, and the pursuit of meaningful impact.

Apply now and take your next step toward a remote-first career in intelligent systems.