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Senior 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 
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 (Computer Vision Recognition)
By Verticalmove, Inc At San Diego, CA, United States
Collaborate seamlessly across cross-functional teams to elucidate requirements and forge innovative technical resolutions.
• Develop evocative sketches, drawings, and schematic representations catering to diverse audiences, including Executives, Product Managers, and Engineering teams.
• Provide educational insights to the team regarding emergent technologies and their applications within the retail environment.
Boast a prolific 5+ years of experience in conceiving and materializing computer vision algorithms and solutions.
Hold practical experience in image and video processing and analysis.
• Accumulate 5-8 years of experience within a dynamic R&D product engineering environment.
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 Product Manager, Machine Learning
By Upstart At United States
5-7 years of product management experience.
Knowledge of machine learning workflows (e.g. model training, online inference, feature management, etc.)
Write detailed requirements; manage agile processes to ensure consistent execution and accurate timelines
Demonstrate and encourage best practices in product management by working with other PMs throughout the company
Conduct user research and manage stakeholders to drive consensus
BA/BS in Economics, Computer Science, Electrical Engineering, Mathematics, Statistics, a related technical field, or equivalent practical experience.
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 Deep Learning Engineer
By NVIDIA At New York, NY, United States
Degree in Computer Science or closely related major. B.S. is required or equivalent experience, graduate degree is a plus
3+ years of experience with deep learning tools (academic experience counts)
Maintain and improve NVIDIA NeMo toolkit and similar tools
End-to-end responsibility for major features
Responsibility for the software quality, test coverage and documentation
Collaborating with internal and external teams on product integrations

Are you an experienced Senior Machine Learning Engineer looking for a new challenge? We are looking for a creative problem solver to join our team and help us develop innovative solutions to complex problems. You will have the opportunity to work with cutting-edge technologies and collaborate with a diverse team of experts. If you are passionate about machine learning and eager to make an impact, this could be the perfect opportunity for you!

What is Senior Machine Learning Engineer Skills Required?

• Knowledge of machine learning algorithms and techniques
• Proficiency in programming languages such as Python, R, Java, and C++
• Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch
• Knowledge of data engineering and data science
• Ability to develop and deploy machine learning models
• Understanding of software engineering best practices
• Experience with cloud computing platforms such as AWS and GCP
• Knowledge of distributed computing frameworks such as Apache Spark

What is Senior Machine Learning Engineer Qualifications?

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field
• 5+ years of experience in software engineering and/or machine learning
• Experience with data analysis and data visualization
• Excellent problem-solving and communication skills

What is Senior Machine Learning Engineer Knowledge?

• Knowledge of machine learning algorithms and techniques
• Knowledge of data engineering and data science
• Understanding of software engineering best practices
• Knowledge of distributed computing frameworks such as Apache Spark

What is Senior Machine Learning Engineer Experience?

• 5+ years of experience in software engineering and/or machine learning
• Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch
• Experience with cloud computing platforms such as AWS and GCP