Ericsson · 19 hours ago
Machine Learning Engineer
Boise, ID
Full-time
Onsite
Mid Level
4+ years expEricsson is a leading telecommunications company, and they are seeking a Machine Learning Engineer to join their central data team. The role involves hands-on model development, production hardening, and lifecycle management, while collaborating with various stakeholders to design and deliver ML solutions that drive decisions across multiple domains.
Information TechnologyInternetMobileTelecommunications
No H1B
Responsibilities
Design, train, and evaluate ML models (classification, regression, time series, uplift modeling) for forecasting, propensity, churn, pricing, and optimization use cases
Build prescriptive analytics frameworks (optimization, scenario simulation, A/B testing) to translate model outputs into decision recommendations
Operationalize models in Snowflake using Snowpark for Python, UDFs, stored procedures, Tasks & Streams, and Snowpipe for ingestion
Implement CI/CD for data & model artifacts, enabling reproducible environments and automated testing
Monitor for data drift, model decay, and performance SLAs; implement automated retraining and rollback strategies
Collaborate with analytics engineers to design feature stores, materialized views, and semantic layers aligned to domain models
Establish best practices for data quality, documentation, governance (RBAC, tags, masking & row-access policies), and cost/performance management
Partner with business teams to frame problems, translate requirements into hypotheses, and define KPIs and success metrics
Provide consulting to departments without dedicated data teams—coaching on data literacy and ML adoption
Qualification
Required
4+ years in applied analytics/ML building predictive and prescriptive solutions end-to-end
Bachelor's degree in Applied Mathematics, Statistics, Data Science, Computer Science or equivalent field demonstrating formal training in statistics and quantitative methods
Successfully deployed at least 2 ML models into production, managing all stages of the model lifecycle such as development, deployment, monitoring, retraining
Strong hands-on Python (pandas, NumPy, scikit-learn) and production code quality (packaging, testing, logging)
Mastery in data mining using SQL
Demonstrated success deploying and operating models at scale in Snowflake or equivalent cloud data platform
Snowflake proficiency: Snowpark (Python), UDFs, Stored Procedures, and Tasks
Experience with Snowflake-native ML workflows and integrated Streamlit apps for rapid prototyping
Preferred
Master's degree in Data Science, Statistics, Computer Science, or related field
Familiarity with dbt for analytics engineering and integration points with Snowflake
Knowledge of optimization libraries (scipy.optimize, PuLP, OR-Tools) and causal inference frameworks
Experience with feature stores, model registries, and orchestration tools (Airflow, Prefect)
Exposure to GPU-backed training and model explainability techniques (SHAP, permutation importance)
Benefits
Subsidized, nationwide PPO medical benefit options including a low-deductible Point of Service Plan and a qualifying High Deductible Health Plan (HDHP), with a generous company-provided HSA contribution
Subsidized dental and vision coverage
401(k) plan has a 4% company match and immediate vesting
Company-paid employee basic life and AD&D insurance
Company-paid disability benefits
Minimum of 15 days of accrued vacation
Up to 3 personal days per year
11 annual holidays
8 hours of volunteer time
80 hours of sick time annually
Up to 16 weeks of paid maternity leave
6 weeks of parental or adoption leave at 100% of pay
Comprehensive Employee Assistance Program
Mobile therapy
Volunteer paid time off
Company
Ericsson
Ericsson is an information and communications technology company that offers network services. It is a sub-organization of Investor.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$1.82BKey Investors
InvestorNordic Investment BankEuropean Investment Bank
2025-04-04Post Ipo Equity· $119.99M
2024-07-12Post Ipo Debt· $109.22M
2023-12-15Post Ipo Debt· $109.09M
Leadership Team
Borje Ekholm
CEO & President
Niklas Heuveldop
CEO Vonage & Head of Business Area Global Communications Platform
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