Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Machine Learning Engineer
Job
Sigma Squared
Cambridge, MA (In Person)
$143,768 Salary, Full-Time
Review key factors to help you decide if the role fits your goals.
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
100
out of 100
Average of individual scores
Skill Insights
Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
Machine Learning Engineer Sigma Squared Cambridge, MA Job Details Full-time $130,443.16 - $157,092.83 a year 4 hours ago Benefits Dental insurance 401(k) Parental leave Retirement plan Qualifications AI models TensorFlow Statistics Data visualization software proficiency Data Integration (Data management) Data analysis reporting Predictive modeling analysis Text mining tools R Data reporting AI platforms (beyond public GPTs) Computational framework Machine learning cloud services ETL process automation Machine intelligence Model deployment Semantic Web Scalability Model training Machine learning libraries Cross-functional collaboration Model evaluation Machine learning frameworks Data visualization projects Relational database design Cross-functional communication Data analysis software Full Job Description Overview We are seeking a dynamic and innovative Machine Learning Engineer to join our cutting-edge data science team. In this role, you will harness the power of artificial intelligence (AI) and machine learning (ML) frameworks to develop, optimize, and deploy advanced models that drive impactful insights and solutions. Your expertise will enable us to leverage big data, natural language processing, and unsupervised learning techniques to solve complex problems across diverse domains. This is an exciting opportunity to work with state-of-the-art tools like TensorFlow, Spark, Hadoop, and AWS in a fast-paced environment committed to technological excellence and continuous innovation. Duties Design, develop, and implement machine learning models using frameworks such as TensorFlow, R, and SAS to address real-world challenges. Conduct data mining and data analysis utilizing SQL, Python, and big data tools like Hadoop and Spark to extract actionable insights. Build scalable ETL pipelines with Talend, Bash scripts, and other tools to prepare large datasets for modeling. Collaborate with cross-functional teams to define project requirements, translate business needs into technical solutions, and ensure seamless model deployment. Optimize model training processes through hyperparameter tuning, validation techniques, and leveraging cloud services like AWS for scalability. Develop natural language processing (NLP) applications for text analysis and linked data integration to enhance AI capabilities. Design robust database architectures and implement database design best practices for efficient data storage and retrieval. Monitor model performance post-deployment using analytics tools like Looker and refine models based on feedback and new data inputs. Stay current with emerging trends in machine learning frameworks, quantum engineering applications, and AI research to continually improve our solutions. Requirements Proven experience in developing machine learning models using frameworks such as TensorFlow or similar platforms. Strong programming skills in Python, Java, C, or VBA; proficiency in Bash (Unix shell) scripting is a plus. Extensive knowledge of big data technologies including Hadoop, Spark, and related ETL processes. Hands-on experience with SQL databases along with database design principles for large-scale applications. Familiarity with cloud computing environments like AWS for model training and deployment at scale. Expertise in natural language processing (NLP), linked data integration, and AI-driven analytics solutions. Ability to perform data mining tasks efficiently using SAS or R for statistical analysis. Understanding of machine learning concepts such as supervised/unsupervised learning, model validation, and deployment strategies. Knowledge of analytics tools like Looker or similar platforms for visualization and reporting purposes. Excellent problem-solving skills combined with strong communication abilities to collaborate effectively across teams. Join us in shaping the future of intelligent technology! This role offers an energetic environment where your innovative ideas will make a tangible impact on our products and services while advancing your career in AI and machine learning engineering.