Charlestown, MA

Data Jobs in Charlestown, MA

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Today

Senior Machine Learning Engineer - Perception

Pickle Robot Company Charlestown, MA

Charlestown, MA

Today

$170k - $227k/yr Full time Ai Ml Artificial Intelligence Automation

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Job Description

The Senior Machine Learning Engineer, Perception, will lead perception and grasping machine learning efforts end-to-end, from defining the problem through dataset creation, training, and evaluation. The role focuses on the modeling loop, while platform and robotics teams own runtime integration and edge deployment.

Responsibilities

Own ML problem formulation: translate ambiguous picking performance goals into well-posed ML tasks, including selecting targets, label and reward definitions, the optimization loss, and the criteria for what “better” means.
Build the data engine: manage dataset strategy across the full lifecycle, including large-scale synthetic scene generation, distributed cloud dataset jobs, scene diversity filtering, and self-supervised label generation.
Identify data bottlenecks: determine when performance is constrained by data rather than the model, and implement fixes to improve dataset quality and coverage.
Train and iterate on large vision models: fine-tune large backbones using multiple task-specific heads, run disciplined experiments, and decide both the next experiment to run and when to stop.
Own evaluation and verification: define offline metrics that correlate with on-robot outcomes, and use online metrics to improve performance on edge cases.
Drive technical excellence: perform rigorous code reviews, mentor engineers earlier in their careers, and contribute to the perception and grasping roadmap.
Hand off cleanly to production: deliver deployable models with practical latency budgets, exportable graphs, and reproducible artifacts, in partnership with engineers responsible for runtime integration and inference optimization.

Required Qualifications

5+ years of experience in machine learning and computer vision, including carrying models from problem statement to measured outcomes.
Track record of framing problems with clear, measurable definitions.
Hands-on experience building datasets at scale: generation or collection, curation, automated quality assurance, coverage and bias analysis, and active learning to systematically address edge cases.
Rigorous evaluation habits: use baselines, ablations, metric design, and strong judgment on whether results are real.
Expert-level Python and PyTorch skills.
Comfort with cloud training infrastructure including GCP or AWS, plus Docker and experiment tracking tools.
Professional experience with one or more of the following: multi-task model development and training; multi-modal model development and training; multi-view model development and training; self-supervised, outcome-based, or reward-driven learning.

Technologies

Python
PyTorch
GCP
AWS
Docker

Location and Compensation

Location: Charlestown, MA (onsite)
Salary: USD 170,100 - 227,400 per year

Benefits

Health, dental, and vision insurance
Unlimited vacation
Paid federal and state holidays
401(k) contributions of 5% of salary
Company-covered travel expenses
Other perks to support day-to-day work comfort and productivity

AI Tools Notice

The company may use AI tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals based on available information.
These tools assist the recruitment team and do not replace human judgment.
Final hiring decisions are made by humans.
If you want more information about how data is processed, contact the company.

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2mo ago

Population Health Data Engineer

Software Technology Inc Charlestown, MA

Charlestown, MA

2mo ago Closed

Full time Applied Epic Claims Data Pipelines Clinical Data

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

Two experienced Population Health Data Engineers are needed in Charlestown, MA ( hybrid ) to help build scalable data pipelines and integrate clinical and claims data for population health analytics. The role emphasizes data quality, governance, and HIPAA compliance, with collaboration across Healthy Planet, clinical, quality, and analytics teams to deliver data-driven solutions that support quality measurement, risk analytics, and utilization insights.

You will work within the Epic data ecosystem, design ELT pipelines on modern cloud platforms, and develop data models that enable longitudinal patient level analytics, care management, and payer-provider benchmarking. This is a collaborative role in a healthcare analytics environment that values clear data governance and measurable impact.

Responsibilities

Design, build, and maintain scalable data pipelines for population health and claims analytics.
Work extensively with Epic data platforms, including Clarity, Caboodle, Chronicles, Registries & Rosters.
Integrate clinical and claims data to support longitudinal patient level analytics.
Develop and optimize data models for quality measures, risk stratification, and utilization/cost analysis.
Support care management initiatives.
Build and support risk adjustment models (HCC, RAF, MARA).
Process and transform medical and pharmacy claims data.
Work with Milliman MedInsight data models for payer-provider analytics and benchmarking.
Develop and optimize ELT pipelines using modern cloud platforms.
Collaborate with Healthy Planet, clinical, quality, and analytics teams to deliver data driven solutions.
Ensure data quality, governance, and HIPAA compliance.
Optimize performance for large datasets and complex SQL queries.

Requirements

Hands-on experience with Epic Clarity and Caboodle
Chronicles data structures
Experience with Epic Registries and Healthy Planet
Background in Population Health and Value Based Care
Knowledge of risk adjustment (HCC, RAF, MARA)
Snowflake data warehousing experience
DBT (Data Build Tool) proficiency
Snowflake Dynamic Tables
Advanced SQL and data modeling expertise
Experience building and maintaining data pipelines
Medical and pharmacy claims data experience
Payer-provider analytics domain experience
Milliman MedInsight experience preferred
Bachelor's or Master's degree in Computer Science, Health Informatics, Data Engineering or related field
6+ years of experience in data engineering
Healthcare, Population Health analytics, and payer environments (preferred)

Technologies

Epic Clarity
Epic Caboodle
Chronicles
Epic Registries / Healthy Planet
Snowflake
DBT (Data Build Tool)
Dynamic Tables (Snowflake)
Milliman MedInsight
SQL

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Data Jobs in Charlestown, MA

Senior Machine Learning Engineer - Perception

Population Health Data Engineer

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