System Engineer - Machine Learning Job at Synergy ECP (Columbia)

System Engineer - Machine Learning

Location

United States , Columbia

Salary:

Not provided

Synergy ECP

Expiration Date

Until further notice

Requirements

Active TS/SCI clearance
Active CI or FS polygraph
Authorization to work in the United States

Fulltime

Senior Machine Learning Engineer, Reinforcement Learning

About the Role: We are looking for a Senior Machine Learning Engineer with stron...

Location

United States , Beverly Hills, CA

Salary:

150000.00 - 185000.00 USD / Year

Snail Games

Expiration Date

Until further notice

Requirements

Strong foundation in machine learning, with hands-on experience building, training, and iterating on applied ML systems
Professional or substantial project experience with reinforcement learning, agent-based systems, sequential decision-making, or closely related areas
Strong Python skills and experience with modern ML frameworks such as PyTorch
Experience designing experiments, evaluating model behavior, and improving results through systematic iteration
T-shaped capability: deep machine learning expertise plus practical range across one or more adjacent areas such as simulation, evaluation, model integration, systems collaboration, or robotics-adjacent machine learning
Strong problem-solving ability, sound judgment, and comfort working in ambiguous, fast-changing environments
Respectful, low-ego collaborative style and willingness to work beyond a narrow specialty when the work requires it

Job Responsibility

Design, train, and iterate on machine learning models for intelligent agents and decision-making systems, with an emphasis on reinforcement learning and related approaches
Define and refine state representations, action spaces, reward structures, and evaluation criteria to improve agent behavior
Build and improve practical experimentation and training workflows, including data generation, experiment tracking, and reproducibility
Analyze results, debug model behavior, and make pragmatic tradeoffs between model performance, iteration speed, and system complexity
Work closely with engineers and other partners to help integrate successful ML work into usable product systems
Contribute thoughtful technical input on next-step experiments, tooling, and ML direction as Egofold continues to evolve

What we offer

True focus on work/life balance
Paid company holidays, vacation, and separate sick leave
Medical, dental, vision, and Life/LTD
401k with company match

Fulltime

Sr Machine Learning Engineer

We are seeking a Senior Machine Learning Engineer, Forecasting to join the Forec...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

5+ years of experience in machine learning engineering, software engineering, or a related field, with a demonstrated track record of deploying production ML systems that deliver business value
Strong experience building and maintaining end-to-end ML pipelines and production systems for forecasting or other predictive modeling use cases
Expertise in model serving, and operationalizing probabilistic, Bayesian, or predictive models in production environments
Strong programming skills in Python and SQL, with experience using tools such as scikit-learn, PyTorch, TensorFlow, and orchestration or workflow tools for ML pipelines
Experience with cloud platforms, distributed data processing, containerization, and ML deployment patterns
Strong understanding of software engineering fundamentals, including system design, testing, performance optimization, and maintainability
Strong collaboration and communication skills, with the ability to work effectively across technical and non-technical teams
An intellectually curious self-starter who can take ambiguous problems and build scalable solutions from the ground up

Job Responsibility

Design, build, and maintain scalable machine learning systems and forecasting pipelines to support demand forecasting across near-, medium-, and long-term planning horizons
Productionize advanced statistical, Bayesian, and machine learning forecasting models, including training, validation, deployment, and lifecycle management
Build and optimize data pipelines, feature engineering workflows, and batch and real-time inference systems using large, complex datasets
Own the end-to-end ML engineering lifecycle, including solution design, prototyping, model integration, testing, deployment, monitoring, observability, and continuous improvement
Develop robust MLOps capabilities, including model versioning, CI/CD, automated retraining, performance monitoring, drift detection, and rollback strategies
Partner closely with data scientists and business stakeholders to operationalize forecasting, simulation, and scenario-analysis capabilities that support strategic decision-making
Establish and promote software engineering best practices, including code quality, documentation, reproducibility, and system reliability
Research and evaluate emerging tools, platforms, and methodologies in machine learning engineering, forecasting, and AI for potential application to business problems

Fulltime

New

Staff Machine Learning Engineer

We’re building a world of health around every individual — shaping a more connec...

Location

United States , Work at Home

Salary:

106605.00 - 260590.00 USD / Year

CVS Health

Expiration Date

September 28, 2026

Requirements

8+ years in large-scale software development
5+ years solution architecture or system design experience
5+ years building large-scale microservices/APIs using Node.js
3+ years hands-on experience with GCP and AWS (serverless, event-driven, AI/ML, CI/CD)
AWS Bedrock (any combination of models, agents, knowledge bases, guardrails, tuning, evaluation) or GCP Vertex AI (Model Garden, Extensions/Agents, Vector Search, Pipelines, Tuning) or similar technologies
Strong communication and leadership skills
Strong experience with Python for AI/ML engineering
Production experience with Agentic AI frameworks
Production experience with RAG architectures and vector databases
Production experience with Serverless and event-driven designs

Job Responsibility

Drives the development and implementation of advanced machine learning models and algorithms to solve complex healthcare problems, leveraging techniques such as predictive modeling, deep learning, and natural language processing
Collaborates with multiple departments, including data scientists, clinicians, and Information Technology (IT) professionals, to understand business requirements, define machine learning projects, and prioritize initiatives based on strategic objectives
Interfaces with stakeholders to define performance metrics and evaluation methodologies for machine learning models, contributing to rigorous testing, validation, and performance monitoring of models to ensure accuracy and reliability
Designs and implements scalable and efficient machine learning systems, including data pipelines, preprocessing, feature engineering, and model training, ensuring the quality and integrity of healthcare data used for analysis
Advises on the optimization and improvement of data pipelines, model training processes, and infrastructure to enhance efficiency, scalability, and performance of machine learning solutions
Consults on and presents technical findings, insights, and recommendations to both technical and non-technical stakeholders, contributing to the dissemination and application of machine learning insights in the healthcare industry
Ensures compliance with data privacy regulations, ethical guidelines, and industry standards in machine learning engineering, supporting the development of protocols and practices for model interpretability, fairness, and transparency
Manages team performance through regular, timely feedback as well as the formal performance review process to ensure delivery of exceptional services and engagement, motivation, and team development
Stays up-to-date with the latest advancements in machine learning and related technologies, continuously exploring and evaluating new algorithms and methodologies to enhance machine learning capabilities in healthcare applications
Design, build, and deploy production-grade LLM and GenAI applications using the full breadth of AWS Bedrock and GCP Vertex AI capabilities (models, tuning, pipelines, vector search, guardrails, evaluation)

What we offer

medical, dental, and vision coverage
paid time off
retirement savings options
wellness programs
bonus, commission or short-term incentive program
equity award program

Fulltime

Machine Learning Engineer - AI Teams

At Doctolib, we're on a mission to transform the way healthcare is delivered by ...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

Have strong analytical skills, are result oriented and user first
Have between 3/7 years of experience in the domain of Machine Learning / Deep Learning / AI Engineering, including taking models from prototype to production at scale
Have experience in Information Retrieval and modern retrieval stacks, including some of the following: Hybrid search (sparse + dense), Large-scale embeddings and vector databases, Multi-stage retrieval and re-ranking pipelines, RAG architectures and retrieval pipelines on multimodal use cases, Tools and MCP-based integrations to bring in external data and capabilities
Proficient in LLM/VLM application development, including: Fine-tuning LLM and VLM models, Mixture-of-Experts (MoE) architectures (via LiteLLM or Model Garden), Knowledge Distillation, Prompt engineering and tool use, Evaluation and benchmarking of LLM/VLM systems
Have hands-on experience with agentic AI (e.g. building and orchestrating agents on top of ADK)
Have demonstrated strong scientific rigor and benchmarking skills: Designing metrics aligned with product goals, Running controlled end to end experiments with W&B, MLFlow or Braintrust, Analyzing and communicating results to guide product and technical decisions
Have experience with large scale applications in production (monitoring, reliability, performance, observability)

Job Responsibility

Find the right technical solution to solve the product domain goals
Implement your ideas and test them
Deploy your algorithms in production guided by our ML platform team
Measure the uplift and continuously improve your approach

What we offer

Free health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Work Council subsidy to refund part of sport club membership or creative class
Up to 14 days of RTT
Lunch voucher with Swile card

Fulltime

Robotics and Machine Learning Engineer

Applied Robotics & Physical AI Innovation Engineer: This role evaluates advanced...

Location

United States , Plano

Salary:

100005.00 - 157004.00 USD / Year

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s in Computer Science, Machine Learning, AI, Robotics, or related field
3 years of experience building robotics/Physical AI systems. Exceptional hands-on builders with strong demo portfolios are encouraged regardless of actual years
Familiarity with industry safety standards and regulations pertaining to robotic systems

Job Responsibility

Research emerging technologies in this stated field, document and present ideas for consideration by the NA innovation team
Weekly presentations of ideas and interacting with technology with clients
Develops a growth pipeline with the client executives for engagements for tech showcases, workshops and technology evaluations/PoCs
Collaborate with vertical and horizontal team SMEs globally
Ability to apply suggested ideas to client needs and challenges to NTT DATA digital discussions and offerings

What we offer

medical insurance
dental insurance
vision insurance
flexible spending or health savings account
life and AD&D insurance
short and long term disability coverage
paid time off
employee assistance
participation in a 401k program with company match
additional voluntary or legally-required benefits

Fulltime

Senior/Principal Machine Learning Engineer

As a Senior/Principal Machine Learning Engineer in Agent Factory, you’ll design ...

Location

United States , Pleasanton; Seattle

Salary:

228000.00 - 342000.00 USD / Year

Workday

Expiration Date

Until further notice

Requirements

10+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
4+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
6+ years of professional experience in building services to host machine learning models in production at scale
3+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
6+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning
fostering a culture of collaboration, transparency, innovation, and continuous improvement
Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent

Job Responsibility

Design and build the core ML systems behind Workday’s next generation of AI agents
Own how models, agent logic, and orchestration layers come together in production—across the full lifecycle from problem framing and data strategy to deployment, monitoring, and continuous improvement
Implement and evolve frameworks for LLM-powered agents, including RAG pipelines, workflow orchestration, evaluation, and feedback loops, ensuring solutions are scalable, observable, and enterprise-ready
Partner closely with software engineers, product managers, and data scientists to integrate agents deeply into the Workday stack
Stay hands-on with emerging techniques in agentic architectures while applying strong engineering judgment to turn them into systems that are reliable, explainable, and built to operate at global scale

What we offer

Workday Bonus Plan or role-specific commission/bonus
annual refresh stock grants

Fulltime

AI / Machine Learning Engineer

Location

United States , Los Angeles

Salary:

170000.00 - 190000.00 USD / Year

Signify Technology

Expiration Date

Until further notice

Requirements

5+ years in software/data engineering or machine learning
2+ years building AI/ML or LLM-based systems in production environments
Hands-on experience with Azure AI services, Azure AI Foundry, Azure Machine Learning, OpenAI on Azure, and Copilot Studio
Working knowledge of Lakehouse architecture and tools such as Microsoft Fabric, Databricks, and/or Azure Synapse
Proficiency with Git, Azure DevOps (or GitHub), Agile methods (e.g., Jira), and CI/CD pipelines for analytical solutions
Proven experience building autonomous agents or AI-driven workflows with safety and observability
Expertise in prompt engineering, fine-tuning, RAG, and evaluation frameworks
Comprehensive understanding of the ML lifecycle from experimentation through deployment, monitoring, and continuous improvement

Job Responsibility

Design and implement AI/ML solutions with Azure Machine Learning, Azure AI Foundry (AI Studio), OpenAI on Azure, and Copilot Studio
Build, fine-tune, and evaluate LLM-based applications
Develop and maintain Python pipelines (ETL/ELT) and ML models
Deliver demand prediction, sales forecasting, and operational planning models
Integrate AI into Power Platform solutions and line-of-business apps
Build task-oriented AI agents and automation workflows
Design context management patterns for AI systems
Design scalable data products on Fabric/Databricks/Synapse
Build CI/CD for models and prompts
Implement telemetry and responsible AI evaluations

What we offer

Comprehensive Medical, Dental and Vision Plans
Health Savings Account (HSA)
Flexible Spending Accounts (FSA)
Wellness Incentive
Employee Assistance Program (EAP)
Paid Time Off & Holidays
401(k) Retirement Plan Matching
Group Term Life and AD&D Insurance
Short-Term and Long-Term Disability Insurance
Data-Driven Strategy to Provide Competitive and Equitable Compensation Packages

Fulltime

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System Engineer - Machine Learning

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