Forward Deployed Engineer
Machina Labs · Dayton, OH · 3 wk ago
On-siteEngineeringFull-time
MachinaLabs provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
About the role
The role involves developing innovative machine learning solutions for a leading tech company. Key responsibilities include designing algorithms, analyzing data, and collaborating with cross-functional teams.
Responsibilities
- Design and implement machine learning models
- Analyze large datasets to extract insights
- Collaborate with product managers and engineers to develop new features
- Optimize model performance through iterative testing and refinement
- Present findings and recommendations to stakeholders
Requirements
- Bachelor's degree in Computer Science, Statistics, or a related field
- At least 2 years of relevant work experience in machine learning or a closely related field
- Strong proficiency in Python and other programming languages
- Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
- Excellent problem-solving skills and ability to work independently
- Ability to manage multiple projects simultaneously
Qualifications
- Knowledge of statistical methods and data analysis techniques
- Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau
- Understanding of cloud computing platforms like AWS or Google Cloud
- Good communication and interpersonal skills
Skills
- Python programming
- Data analysis and manipulation
- Machine learning model development
- Cloud computing
- Communication and collaboration
Benefits
- Competitive salary commensurate with experience
- Flexible working hours
- Professional development opportunities
- Health insurance coverage
- Employee discounts on tech products
Pay
Salary range: $80,000 - $120,000 annually, depending on experience and qualifications.
Schedule
Full-time position, Monday through Friday, 9 AM to 5 PM.