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Senior Level Machine Learning Engineer Jobs

Senior Machine Learning Engineer
By Pi Square Technologies At Farmington, MI, United States
● Production experience utilizing Diffusion-based text-to-image generative models with Python as a base for image generation systems
● Production based experience developing image generative algorithms and large language models
● Production based experience architecting, developing, and deploying production Python applications
● Production experience working with MLOps pipelines
● Strong knowledge of deep learning, natural language processing, and generative AI
● Experience in data processing and analysis, statistical analysis, and data visualization
Senior Machine Learning Engineer
By Bain & Company At Austin, TX, United States
2-3 years of engineering experience 
Proficient knowledge of Python and SQL 
Experience with containers, Docker and Git 
Experience with cloud platforms (e.g. AWS, GCP, Azure, Databricks, etc) and associated machine learning products, e.g. Amazon SageMaker, Azure ML 
Experience in big data technologies, e.g. Hadoop, BigQuery, MapReduce, Apache Spark  
Experience working according to agile principles 
Entry Level Machine Learning Engineer
By Mediacom Communications Corporation At , Chester, 10918 $60,000 - $85,000 a year
· Education Enrichment up to $5,000 per year for qualified employees
· 1 year of experience with programming languages such as Java, Python (or “R”), and SQL preferred
· Excellent pattern recognition and predictive modeling skills, and familiarity with conducting regression analyses
Work Location: Hybrid remote in Chester, NY 10918
Chester, NY 10918: Reliably commute or willing to relocate with an employer-provided relocation package (Required)
Machine learning: 1 year (Preferred)
Senior Machine Learning Engineer
By Big Cloud At New York City Metropolitan Area, United States
Previous Machine Learning experience (5+ years)
Previous experience productionizing NLP models
Strong experience with Python, TensorFlow/ PyTorch
PhD qualification in computer science or equivalent
MS/ PhD in computer Science (related field)
Exposure to data pipeline frameworks (KubeFlow, AirFlow, MLFlow, etc.)
Senior Machine Learning Engineer, Feed Quality
By TikTok At , San Jose $187,040 - $280,000 a year
Build industry-leading recommendation system, improving user experience, content ecosystem and platform security;
Bachelor degree in computer science or a related major, with 3+ years of related work experience;
Strong software development experience with C++, Python or other programming language;
Strong communication and teamwork skills;
Deliver end-to-end machine learning solution to address critical product challenges;
Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance.
Senior Staff Machine Learning Engineer, Applied Science
By Pinterest At , Remote
Experience in research and in solving analytical problems
8+ years working experience in the r&d or engineering teams that build large-scale ML-driven projects
3+ years experience leading cross-team engineering efforts that improves user experience in products
Strong publication track record and industry experience in shipping machine learning solutions for large-scale challenges
Information regarding the culture at Pinterest and benefits available for this position can be found
Lead cutting-edge research in machine learning and collaborate with other engineering teams to adopt the innovations into Pinterest problems
Senior Machine Learning Engineer
By Atlassian At , Mountain View
Experience delivering impact in the domain of Content Recommendation, Text Classification, Knowledge Graphs.
Manage AI/ML projects to achieve the desired outcome promptly
Master or equivalent in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)
5+ years of related industry experience in the data science domain
Experience building and scaling machine learning models in business applications using large amounts of data
Agile development mindset, appreciating the benefit of constant iteration and improvement
Senior Machine Learning Engineer
By Amgen At , Thousand Oaks, Ca $142,425 - $184,988 a year
Automate model monitoring, model retrain, model deployment process based on business requirement
Outstanding analytical and problem-solving skills; Ability to learn quickly and detail oriented
Experience with machine learning operations
Deep knowledge of math, probability, statistics and algorithms
Experience with data modeling for both OLAP and OLTP databases, hands-on experience with SQL, especially SparkSQL performance tuning
Experience with software DevOps CI/CD tools, such GitLab
Senior Geospatial Machine Learning Engineer
By Wherobots.ai At San Francisco Bay Area, United States
●Hands-on experience with remote sensing tasks such as segmentation and feature extraction over GeoTiff, HDF, or Zarr.
●Hands-on experience with GIS tools (e.g., Apache Sedona, ArcGIS, GeoPandas, QGIS).
●3+ years of experience writing production code in C/C++, Java/Scala, Python or other major programming languages.
●3+ years of hands-on experience with popular Machine Learning/AI software (e.g., TensorFlow, PyTorch, Scikit-Learn).
●Hands-on experience with cloud APIs (e.g., AWS, Azure, GCP)
●BS (or higher) in Computer Science, or a related field
Senior Machine Learning Engineer (On-Site)
By Planet Recruiters At Phoenix, AZ, United States
7+ years of experience in business analysis, customer segmentation, and/or predictive modeling, preferably in the financial services industry.
Strong knowledge of 1 or more scripting and programming languages (Python, Java, SQL, etc.).
Experience building, finetune and running inference on transformer models, preferably multi models like LayoutLM.
This position "Senior Machine Learning Engineer" is available with one of our Finance Industry client.
Supports the analytics department by leveraging data technologies to aggregate and structure data, perform statistical analysis, build algorithmic solutions.
Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes.
Senior Machine Learning Engineer
By Infigage At San Francisco, CA, United States
•Experience with Go, Redis, Kubernetes, Red Panda, Docker, React etc
•Passionate and stay up to date with ML
•You really enjoy both talking to customers and working on deep technical problems
•Have great attention to detail, and want to help build a really, really good product
Senior Machine Learning Engineer
By Tsunami Sequoia At Phoenix, AZ, United States
Excellent verbal and written communication skills.
Strong knowledge of 1 or more scripting and programming languages (Python, Java, SQL, etc.).
Experience building, finetune and running inference on transformer models, preferably multi models like LayoutLM.
5+ years of experience in business analysis, customer segmentation, and/or predictive modeling, preferably in the financial services industry.
Supports the analytics department by leveraging data technologies to aggregate and structure data, perform statistical analysis, build algorithmic solutions.
Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes.
Senior Machine Learning Engineer, E-Commerce Risk/Fraud - Usds
By TikTok At Seattle, WA, United States

Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, ...

Senior Machine Learning Engineer - Content Growth
By TikTok At San Jose, CA, United States

Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, ...

Senior Machine Learning Engineer
By NVIDIA At Santa Clara, CA, United States
Experience with AIOps, Cybersecurity, or IT operations management domains.
Design and implement machine learning architectures to support business requirements.
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
8+ years of experience building and deploying machine learning models and architectures in production environment
Knowledge of NLP and deep learning techniques.
Proven Python and deep learning programming skills using Pytorch, TensorFlow, Keras, or similar.
Senior Python Engineer - Machine Learning
By Algo Capital Group At United States
Total compensation package (base salary + bonus) up to $500,000, based on experience and qualifications.
Collaborate with the data science team to integrate fundamental data and alternative data sources into the platform.
Manipulate data sources, and build data-driven applications using SQL and Python.
Work closely with the AI and machine learning team to implement AI-driven tools and workflows.
Contribute to system design discussions and provide insights on how to improve data collection and processing.
Strong interest in Machine Learning and AI.
Senior Machine Learning Engineer
By Motion Recruitment At San Diego, CA, United States
5 years of relevant work experience
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Data Architecting (SQL and Data Warehouse)
Audio processing, voice modeling, and natural language process
An open and inclusive culture and work environment
Collaborative team on the cutting edge of AI research
Senior Software Engineer, Machine Learning Infrastructure
By Tubi At San Francisco, CA, United States
5+ years of experience designing and developing scalable distributed systems with either Scala or Java (we use Scala).
Strong experience with AWS or an equivalent cloud platform
Experience building online microservices at scale with low latency serving
Experience with both SQL (e.g. Postgres) and NoSQL databases (e.g. Cassandra), message brokers (e.g. Kafka)
Experience with containerization technologies, such as Docker or Kubernetes
For US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time
Senior Machine Learning Engineer- Join Oci
By Oracle At United States
DevOps Experience/Familiarity: Containers), Linux/UNIX Shell, package management/Conda etc
Demonstrated programming abilities in Python (intermediate++)
Experience with software coding practices (unit tests, mock, logging, debugging, git, code review, etc)
Strong verbal and written communication skills
Cloud Experience with AWS, GCP, Azure, Heroku etc. highly desirable
Experience with ML frameworks such as Tensorflow and Pytorch is highly desirable
Machine Learning Engineer (Entry Level )
By Patterned Learning AI At New York, NY, United States
Collaborate with cross-functional teams to identify and understand business requirements and translate them into machine learning solutions.
Stay up-to-date with the latest advancements in machine learning and contribute to the team's knowledge sharing activities.
Experience with machine learning libraries/frameworks, such as TensorFlow, PyTorch, or scikit-learn.
Knowledge of deep learning techniques and neural networks is a plus.
Experience with big data processing tools (e.g., Hadoop, Spark) is a plus.
Strong problem-solving skills and the ability to think creatively to develop innovative solutions.

Are you a Senior Level Machine Learning Engineer looking for a new challenge? We are looking for an experienced engineer to join our team and help us develop cutting-edge machine learning solutions. You will have the opportunity to work with a team of experts in the field and be part of a dynamic and innovative environment. If you are passionate about machine learning and have the skills to make a difference, this is the job for you!

Overview:

A Senior Level Machine Learning Engineer is responsible for developing and deploying machine learning models and algorithms to solve complex business problems. They must have a deep understanding of machine learning techniques and be able to apply them to real-world problems. They must also be able to collaborate with other teams and stakeholders to ensure successful implementation of the models.

Detailed Job Description:

A Senior Level Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models and algorithms. They must have a deep understanding of machine learning techniques and be able to apply them to real-world problems. They must also be able to collaborate with other teams and stakeholders to ensure successful implementation of the models. They must have a strong understanding of data science and be able to develop models that are accurate and reliable. They must also be able to develop and maintain machine learning pipelines and be able to troubleshoot any issues that arise.

What is Senior Level Machine Learning Engineer Job Skills Required?

• Expertise in machine learning algorithms and techniques
• Knowledge of data science and analytics
• Experience with developing and deploying machine learning models
• Ability to collaborate with other teams and stakeholders
• Knowledge of software engineering principles
• Ability to troubleshoot and debug machine learning models
• Knowledge of cloud computing platforms

What is Senior Level Machine Learning Engineer Job Qualifications?

• Bachelor’s degree in Computer Science, Mathematics, or a related field
• 5+ years of experience in machine learning engineering
• Experience with developing and deploying machine learning models
• Knowledge of software engineering principles
• Knowledge of cloud computing platforms
• Ability to troubleshoot and debug machine learning models

What is Senior Level Machine Learning Engineer Job Knowledge?

• Expertise in machine learning algorithms and techniques
• Knowledge of data science and analytics
• Knowledge of software engineering principles
• Knowledge of cloud computing platforms

What is Senior Level Machine Learning Engineer Job Experience?

• 5+ years of experience in machine learning engineering
• Experience with developing and deploying machine learning models
• Experience with troubleshooting and debugging machine learning models

What is Senior Level Machine Learning Engineer Job Responsibilities?

• Design, develop, and deploy machine learning models and algorithms
• Collaborate with other teams and stakeholders to ensure successful implementation of the models
• Develop and maintain machine learning pipelines
• Troubleshoot and debug machine learning models
• Monitor and optimize machine learning models for accuracy and reliability