Machine Learning Engineer
Boston, MA · On-site
... platforms (AWS, Azure, GCP) to build scalable ML solutions using managed services and ... machine learning engineering, applied ML, or related software engineering roles. • Strong ...
Machine Learning Engineer
Boston, MA · On-site
... platforms (AWS, Azure, GCP) to build scalable ML solutions using managed services and ... machine learning engineering, applied ML, or related software engineering roles. • Strong ...
Machine Learning Engineer
Somerville, MA · On-site +1
$170K - $200K/yr
We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience with cloud infrastructure, especially AWS * Experience building and maintaining large ...
Quick apply
Machine Learning Engineer
Somerville, MA · On-site +1
$170K - $200K/yr
We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience with cloud infrastructure, especially AWS * Experience building and maintaining large ...
Machine Learning Engineer
Somerville, MA · On-site
$170K - $200K/yr
We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience with cloud infrastructure, especially AWS * Experience building and maintaining large ...
Machine Learning Engineer
Somerville, MA · On-site
$170K - $200K/yr
We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience with cloud infrastructure, especially AWS * Experience building and maintaining large ...
Machine Learning Engineer
Somerville, MA · On-site +1
$170K - $200K/yr
We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience with cloud infrastructure, especially AWS * Experience building and maintaining large ...
Machine Learning Engineer
Somerville, MA · On-site +1
$170K - $200K/yr
We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience with cloud infrastructure, especially AWS * Experience building and maintaining large ...
Machine Learning
Cambridge, MA · On-site
Currently we are directing Neurable for virtual and augmented reality applications. We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would like to advance our ...
Machine Learning
Cambridge, MA · On-site
Currently we are directing Neurable for virtual and augmented reality applications. We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would like to advance our ...
Currently we are directing Neurable for virtual and augmented reality applications. We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would like to advance our ...
Currently we are directing Neurable for virtual and augmented reality applications. We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would like to advance our ...
Lead Machine Learning Engineer
Cambridge, MA · On-site +1
$112K - $147K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...
Lead Machine Learning Engineer
Cambridge, MA · On-site +1
$112K - $147K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...
Senior Machine Learning Engineer
Boston, MA · On-site +1
$133K - $175K/yr
Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Experience with cloud platforms (e.g., GCP, AWS) and distributed computing frameworks (e.g., Spark ...
Senior Machine Learning Engineer
Boston, MA · On-site +1
$133K - $175K/yr
Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Experience with cloud platforms (e.g., GCP, AWS) and distributed computing frameworks (e.g., Spark ...
Senior Machine Learning Engineer
Boston, MA · On-site +1
$133K - $175K/yr
Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Experience with cloud platforms (e.g., GCP, AWS) and distributed computing frameworks (e.g., Spark ...
Senior Machine Learning Engineer
Boston, MA · On-site +1
$133K - $175K/yr
Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Experience with cloud platforms (e.g., GCP, AWS) and distributed computing frameworks (e.g., Spark ...
The Machine Learning Engineer will work at the intersection of machine learning research and ... Preferred : • Experience with AWS, MLflow, SQL, Polars, pandas, Ray, or scikit-learn • ...
The Machine Learning Engineer will work at the intersection of machine learning research and ... Preferred : • Experience with AWS, MLflow, SQL, Polars, pandas, Ray, or scikit-learn • ...
Machine Learning / Reinforcement Learning Infrastructure Engineer
Cambridge, MA · On-site
$118K - $155K/yr
They are seeking a Reinforcement/Machine Learning Infrastructure Engineer to design, implement, and ... GCP, AWS). • Strong cross-functional communication skills, a deep ownership mindset, and a ...
Machine Learning / Reinforcement Learning Infrastructure Engineer
Cambridge, MA · On-site
$118K - $155K/yr
They are seeking a Reinforcement/Machine Learning Infrastructure Engineer to design, implement, and ... GCP, AWS). • Strong cross-functional communication skills, a deep ownership mindset, and a ...
Key job responsibilities Develop an understanding for a custom machine learning instruction set ... About the team Utility Computing (UC) AWS Utility Computing (UC) provides product innovations ...
Key job responsibilities Develop an understanding for a custom machine learning instruction set ... About the team Utility Computing (UC) AWS Utility Computing (UC) provides product innovations ...
Key job responsibilities Develop an understanding for a custom machine learning instruction set ... About the team Utility Computing (UC) AWS Utility Computing (UC) provides product innovations ...
Key job responsibilities Develop an understanding for a custom machine learning instruction set ... About the team Utility Computing (UC) AWS Utility Computing (UC) provides product innovations ...
Senior Machine Learning Engineer
Boston, MA · Remote
$140K - $190K/yr
You'll use technologies like Python (and Clojure), AWS services (Athena, Bedrock, SageMaker, etc ... Strong understanding of machine learning fundamentals (model selection, training, evaluation ...
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Senior Machine Learning Engineer
Boston, MA · Remote
$140K - $190K/yr
You'll use technologies like Python (and Clojure), AWS services (Athena, Bedrock, SageMaker, etc ... Strong understanding of machine learning fundamentals (model selection, training, evaluation ...
Machine Learning Engineer
Lowell, MA · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Lowell, MA · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Babson Park, MA · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Babson Park, MA · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Springfield, MA · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Springfield, MA · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Brockton, MA · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Brockton, MA · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Worcester, MA · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Worcester, MA · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
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Job description
Job Summary:
Focus Financial Partners is a leading financial services firm that provides integrated wealth management and business management services. They are seeking a skilled Machine Learning Engineer to design, deploy, and maintain production-grade machine learning systems, collaborating with various teams to translate research models into scalable applications.
Responsibilities:
• Develop, deploy, and optimize machine learning models for real-world business use cases and client-facing applications.
• Partner with data scientists to operationalize predictive models and ensure scalable, maintainable, and performant production deployments.
• Design and implement data pipelines and workflows that support training, inference, and model lifecycle management.
• Work with large, complex datasets to ensure data quality, reproducibility, and reliable version control across ML workflows.
• Implement model monitoring, logging, and alerting strategies to track performance, detect drift, and support retraining cycles.
• Leverage cloud platforms (AWS, Azure, GCP) to build scalable ML solutions using managed services and infrastructure-as-code practices.
• Write clean, modular, and well-documented code aligned with MLOps and software engineering best practices.
• Stay current on emerging ML tooling, frameworks, and industry best practices to continuously enhance our platform and capabilities.
Qualifications:
Required:
• Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• 6+ years of experience in machine learning engineering, applied ML, or related software engineering roles.
• Strong proficiency in Python and experience with modern ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with distributed data processing and compute frameworks (e.g., Pandas, Spark, Dask).
• Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with CI/CD pipelines, testing automation, and version control using Git.
• Strong understanding of model evaluation, feature engineering, and performance optimization in production contexts.
• Excellent analytical, communication, and collaboration skills, with the ability to work effectively in cross-functional teams.
Preferred:
• Experience working with cloud-based ML platforms or services (e.g., SageMaker, Vertex AI, Databricks, or Snowflake ML).
Company:
Focus Financial Partners is a partnership of fiduciary wealth management firms that offers support and access to capital for growth. Founded in 2006, the company is headquartered in New York, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
Focus Financial Partners is a leading financial services firm that provides integrated wealth management and business management services. They are seeking a skilled Machine Learning Engineer to design, deploy, and maintain production-grade machine learning systems, collaborating with various teams to translate research models into scalable applications.
Responsibilities:
• Develop, deploy, and optimize machine learning models for real-world business use cases and client-facing applications.
• Partner with data scientists to operationalize predictive models and ensure scalable, maintainable, and performant production deployments.
• Design and implement data pipelines and workflows that support training, inference, and model lifecycle management.
• Work with large, complex datasets to ensure data quality, reproducibility, and reliable version control across ML workflows.
• Implement model monitoring, logging, and alerting strategies to track performance, detect drift, and support retraining cycles.
• Leverage cloud platforms (AWS, Azure, GCP) to build scalable ML solutions using managed services and infrastructure-as-code practices.
• Write clean, modular, and well-documented code aligned with MLOps and software engineering best practices.
• Stay current on emerging ML tooling, frameworks, and industry best practices to continuously enhance our platform and capabilities.
Qualifications:
Required:
• Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• 6+ years of experience in machine learning engineering, applied ML, or related software engineering roles.
• Strong proficiency in Python and experience with modern ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with distributed data processing and compute frameworks (e.g., Pandas, Spark, Dask).
• Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with CI/CD pipelines, testing automation, and version control using Git.
• Strong understanding of model evaluation, feature engineering, and performance optimization in production contexts.
• Excellent analytical, communication, and collaboration skills, with the ability to work effectively in cross-functional teams.
Preferred:
• Experience working with cloud-based ML platforms or services (e.g., SageMaker, Vertex AI, Databricks, or Snowflake ML).
Company:
Focus Financial Partners is a partnership of fiduciary wealth management firms that offers support and access to capital for growth. Founded in 2006, the company is headquartered in New York, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
About Focus Financial Partners
Sourced by ZipRecruiter
Industry
Finance and insurance
Company size
201 - 500 Employees
Headquarters location
NY, US
Year founded
2004