Ai/Machine Learning Engineer

About Flexible Staffing Studio

Flexible Staffing Studio is a Hiring Platform that helps connect top Engineers in Emerging Technologies such as Aerospace, VR, AR, Machine Learning, Robotics, and R&D. Our goal is to help you find the perfect position for your next project.

Role Description:

This position is responsible for designing, building, and testing machine learning models and systems that can solve real-world problems in domains such as spacecraft autonomy, anomaly detection and classification, natural language processing, uncertainty quantification, and multimodal signal detection & characterization. This position will be headquartered at our Westminster, Colorado offices and is primarily an on-premises position.

The Machine Learning Engineer will work closely with an engineering team composed primarily of aerospace and software engineers. The ideal candidate has a strong background in software development best practices, mathematics, and statistics, as well as experience with machine learning frameworks such as TensorFlow or PyTorch. Candidates should also have excellent programming skills in Python and be familiar with data processing and analysis tools. Candidates should be able to work independently and collaboratively. Candidates should also have a passion for learning, innovation, and furthering our mission to support the sustainable exploration, development, and settlement of space.

Responsibilities:

• Research and implement state-of-the-art machine learning algorithms and techniques
• Design, develop, and deploy machine learning models and systems that can address various engineering problems and opportunities
• Perform data analysis, preprocessing, feature engineering, and model evaluation
• Optimize the performance, scalability, and reliability of machine learning solutions
• Collaborate with cross-functional teams to understand the requirements and deliver high- quality products
• Document and communicate the results and insights of machine learning projects

Required Skills & Qualifications:

• Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, Statistics, or related field
• Proficient with one or more machine learning model development frameworks, especially PyTorch or TensorFlow.
• Proficiency in Python programming language
• Expertise in a programming language (Python preferred)
• Familiar with data processing and analysis tools such as Pandas, NumPy, Scikit-learn, etc.
• Knowledge of machine learning concepts such as supervised and unsupervised learning, classification, regression, clustering, dimensionality reduction, etc.
• Experience with applying machine learning to real-world problems such as natural language processing, computer vision, recommender systems, etc.
• Strong problem-solving and analytical skills
• Excellent communication and presentation skills
• Ability to work independently and collaboratively in a fast-paced environment
• Proficient with git version control

Experience in the following would be beneficial but not mandatory:

• CUDA C/C++ GPU computing
• High performance computing
• Scientific computing
• Natural language processing
• Computer vision

Compensation and Benefits:

• Base Salary Range – $80,000-$115,000 based on role, employee experience, and location
• Signing bonus
• Quarterly Performance bonuses
• Company provided health insurance and 401K plan upon eligibility
• Unlimited vacation time and extensive flexibility
• Relocation Assistance

Eligibility requirements

Applicants must be a US Person (citizen or Green Card Holder/permanent resident, or protected individual)

FS Studio is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Required Skills & Qualifications:

• Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, Statistics, or related field
• Proficient with one or more machine learning model development frameworks, especially PyTorch or TensorFlow.
• Proficiency in Python programming language
• Expertise in a programming language (Python preferred)
• Familiar with data processing and analysis tools such as Pandas, NumPy, Scikit-learn, etc.
• Knowledge of machine learning concepts such as supervised and unsupervised learning, classification, regression, clustering, dimensionality reduction, etc.
• Experience with applying machine learning to real-world problems such as natural language processing, computer vision, recommender systems, etc.
• Strong problem-solving and analytical skills
• Excellent communication and presentation skills
• Ability to work independently and collaboratively in a fast-paced environment
• Proficient with git version control

Experience in the following would be beneficial but not mandatory:

• CUDA C/C++ GPU computing
• High performance computing
• Scientific computing
• Natural language processing
• Computer vision