Machine Build Manager Job at JR Automation (Nashville)

Machine Build Manager

As a Machine Build Manager, you will lead a team of skilled machine builders and...

Location

United States , Stevensville

Salary:

Not provided

JR Automation

Expiration Date

Until further notice

Requirements

High school diploma, or equivalent
Related vocational education or journeyman certificate preferred
Former JR Automation experience, or experience in the automation industry is strongly preferred
Proficient with Microsoft Office and the ability to navigate Excel
Proficient in reading part and assembly drawings
Strong mechanical aptitude with a focus on safety and quality
Strong leadership skills, and the ability to manage multiple projects and initiatives with varying priorities
Experience in giving presentations to large groups
Proven ability to accept and give direction, set expectations, and hold team members accountable to meet timing, budget, and customer expectations
1-3 years’ experience providing mentorship

Job Responsibility

Direct supervision of the Build Team and other staff
Work cross functionally with all departments
Plan, direct, organize and control the build process and related costs
Ensure that changes and problems get documented and communicated
Support project managers with customer service, runoffs, planning, and status reporting
The Build Manager may be required to assume some responsibilities of the Project Manager on an as needed basis
Strive to achieve the highest level of performance from team members as it relates to their individual ability
Promote training and the use of the 3 build development modules
Support, promote, and execute company initiatives
Provide timely customer service to both internal and external customers

Fulltime

New

Engineering Manager, Machine Learning

We are looking for an Engineering Manager, Machine Learning to lead a team of ML...

Location

India , Bengaluru

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

10+ years of experience in machine learning engineering, with a strong track record of shipping models to production in consumer-facing products (recommendations, search, ads, personalization, or similar domains)
Experience managing an ML or software engineering team
BS/MS in Computer Science, Mathematics, Statistics, or a related quantitative field
Deep expertise in recommendation system architectures, deep neural networks, and ranking models
Strong software engineering fundamentals and experience writing production-quality code
Experience with large-scale ML tooling and infrastructure: PyTorch/TensorFlow, Spark, Airflow, cloud-native MLOps platforms
Experience with multi-objective optimization, reinforcement learning, or Bayesian methods in production settings
Familiarity with LLM-based approaches for recommendations, content understanding, or generative personalization
Demonstrated ability to connect ML work to measurable product and business outcomes
Experience building and scaling ML teams in a distributed or multi-site setting

Job Responsibility

Lead, mentor, and grow a team of ML engineers
foster a culture of technical excellence, ownership, and collaboration
Set the technical roadmap, aligning priorities across the team and within the broader Recommendations organization
Drive system design and architecture decisions for ML models powering content ranking, user modeling, multi-objective optimization, and personalization across Roku's key surfaces
Provide technical leadership on model architecture choices, training and serving infrastructure, and evaluation methodologies
Own the A/B experimentation and measurement strategy for your team's surfaces
ensure ML work is tied to measurable product and business outcomes
Champion the adoption of generative AI to push the boundaries of recommendation and personalization
Partner with Product, Engineering, and cross-functional stakeholders to translate business goals into ML solutions
Recruit and develop ML talent in Bengaluru

What we offer

Global access to mental health and financial wellness support and resources
Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision)
Life, accident, disability, commuter, and retirement options (401(k)/pension)
Employees are supported in taking time off, in accordance with local leave policies and other personal needs

Fulltime

Senior Manager, Machine Learning Platform

We are seeking an experienced Sr. Manager, Machine Learning Platform to lead and...

Location

United States , Mountain View

Salary:

348913.00 USD / Year

EarnIn

Expiration Date

Until further notice

Requirements

MS or Ph.D. degree in Computer Science, Statistics, or a related technical field, or equivalent work experience
5+ years of experience in Engineering or Scientific domains
5+ years of experience as a team builder and leader in hiring, developing, and managing high-performing teams
Industry experience building and productionizing machine learning systems
Advanced knowledge of Python, SQL
Strong oral and written communication skills

Job Responsibility

Define and own the machine learning platform roadmap in alignment with business goals
Lead the ML platform team to design, develop, and optimize ML-based systems
Drive a culture of scientific and engineering rigor and real-world pragmatism in your team's work, particularly to quantify the impact of features on relevant engagement metrics
Collaborate with data engineers, ML algorithm engineers and product managers to coordinate timely deployments from conception to release

What we offer

equity and benefits

Fulltime

Senior Manager, Machine Learning Engineering

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile tea...

Location

United States , McLean; New York

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 8 years of experience designing and building data-intensive solutions using distributed computing
At least 4 years of experience programming with Python, Scala, or Java
At least 3 years of experience building, scaling, and optimizing ML systems
At least 2 years of experience leading teams developing ML solutions
At least 4 years of people management experience
Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field
4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
3+ years of experience developing performant, resilient, and maintainable code
3+ years of experience with data gathering and preparation for ML models

Job Responsibility

Design, build, and/or deliver ML models and components that solve real-world business problems
Inform ML infrastructure decisions using understanding of ML modeling techniques and issues
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Collaborate as part of a cross-functional Agile team to create and enhance software
Retrain, maintain, and monitor models in production
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
Construct optimized data pipelines to feed ML models
Leverage continuous integration and continuous deployment best practices
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed
Use programming languages like Python, Scala, or Java

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Senior Manager, Machine Learning

As a Capital One Senior Lead Machine Learning Engineer (MLE), you'll be part of ...

Location

United States , McLean; Cambridge; Richmond

Salary:

209000.00 - 262400.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 8 years of experience designing and building data-intensive solutions using distributed computing
At least 4 years of experience programming with Python, Scala, or Java
At least 3 years of experience building, scaling, and optimizing ML systems
At least 2 years of experience leading teams developing ML solutions

Job Responsibility

Design, build, and/or deliver ML models and components that solve real-world business problems
Inform ML infrastructure decisions using understanding of ML modeling techniques
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Collaborate as part of a cross-functional Agile team to create and enhance software
Retrain, maintain, and monitor models in production
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
Construct optimized data pipelines to feed ML models
Leverage continuous integration and continuous deployment best practices
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI
Use programming languages like Python, Scala, or Java

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Engineering Manager - Machine Learning Infrastructure

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , New York

Salary:

216000.00 - 367200.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

8–10 years of experience in ML infrastructure, including direct hands-on expertise as an engineer, IC/TL
2+ years of experience managing infrastructure or ML platform engineers
Proven experience delivering and operating ML or AI infrastructure at scale
Solid technical depth across ML/AI infrastructure domains (e.g., feature stores, pipelines, deployment, inference, observability)
Demonstrated ability to drive execution on complex technical projects with cross-team stakeholders
Strong communication and stakeholder management skills

Job Responsibility

Lead and support the ML Infra team, driving project execution and ensuring delivery on key commitments
Build and launch Plaid’s next-generation feature store to improve reliability and velocity of model development
Define and drive adoption of an ML Ops “golden path” for secure, scalable model training, deployment, and monitoring
Ensure operational excellence of ML pipelines, deployment tooling, and inference systems
Partner with ML product teams to understand requirements and deliver solutions that accelerate model development and iteration
Recruit, mentor, and develop engineers, fostering a collaborative and high-performing team culture

Fulltime

New Product Development Build Manager

As part of the talented New Product Development team, the Build Manager is respo...

Location

United States , Fond du Lac

Salary:

103200.00 - 144000.00 USD / Year

Herbruck Poultry Ranch

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Manufacturing Engineering, Industrial Engineering, Operations or Supply Chain Management or closely related field
Minimum of five (5) years’ experience in a manufacturing environment with an emphasis in assembly
Solid understanding of a Bill of Material structure
Strong New Product Development process knowledge (HPPD)
Working knowledge of basic manufacturing processes such as casting, machining, coating and assembly
Solid understanding of inventory transactions and inventory control
Track record of driving continuous improvement
Exceptional communication skills – both verbal and written
Able to work effectively at all levels in an organization
Ability to balance multiple projects at the same time

Job Responsibility

Process all New Product Build Requests
Identify the components and quantity needed to support the build request
Lead the cross-functional new product Build-Readiness meetings to ensure adequate preparation and communication for a successful build event
Create plans for the proper tracking of inventory into and out of the controlled build room before, during, and after the build event.
Hold cross-functional team members accountable for proper adherence to processes and guidelines necessary for successful execution of each build event.
Drive continuous improvement into the planning and execution of new product build events
Communicate serial numbers to the engineering team to ensure appropriate transfer of inventory
Process sample parts through the necessary manufacturing processes and execute line trials to validate component changes

What we offer

annual discretionary bonus
medical
dental
vision
paid vacation
401k (up to 4% match)
Health Savings Account (with company contribution)
well-being program
product purchase discounts

Fulltime

Tech Lead Manager Machine Learning Research Scientist LLM Evals

As the Tech Lead Manager of the LLM Evals Research team, you will lead a talente...

Location

United States , San Francisco; Seattle; New York

Salary:

280000.00 - 380000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development
Experience and track of recording in landing major research impacts in a fast-paced environment
Experience supporting and leading a team of research scientists and research engineers
Excellent written and verbal communication skills
Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
Previous experience in a customer facing role

Job Responsibility

Lead a team of highly effective research scientists and research engineers on LLM evals
Conduct research on the effectiveness and limitations of existing LLM evaluation techniques
Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness
Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects
Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols
Implement scalable and reproducible evaluation pipelines using modern ML frameworks
Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives
Remain up-to-date on ongoing research in the team, help work through technical challenges, and be involved in design decisions
Remain deeply involved in the research community, both understanding trends, and setting them
Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO

Fulltime

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Machine Build Manager

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