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Machine Learning Lead (LLM)
Blue Rose Technologies 3.9
Remote loom operator job
About us:
Blue Rose Research builds data and AI tools that help Democrats win elections. Our team combines engineering, data science, and political strategy to power decisions for the country's top campaigns and progressive organizations. We forecast elections, test ads, and use generative AI to help campaigns understand what's happening in the news; then respond fast with messages that actually work. We have guided how hundreds of millions of dollars are spent in modern campaigns. We're a small, mission-driven team that builds fast, experiments boldly, and helps progressives communicate and win-guided by curiosity, purpose, and a genuine desire to use technology for good.
Machine Learning Lead (LLM & Applied AI)
We're looking for a Machine Learning Lead for a small team of senior data scientists who are developing ML-driven products that power data-informed strategy for civic leaders and organizations. Reporting to the Director of Engineering, you'll be in charge of the roadmap and technical direction. This is a hands-on role. You'll be collaborating with the team to build the infrastructure, train the models, and deploy them to production. If you're motivated to use your technical expertise for meaningful, mission-driven work that advances the public good, this role offers the chance to make a tangible impact.
Other Responsibilities Include:
Lead a team of senior data scientists focused on fine-tuning large language models, conducting cutting-edge R&D, and building production inference systems.
Collaborate with senior leadership to define the team roadmap and align priorities with organizational goals.
Lead weekly meetings and standups, keeping the team unblocked and execution moving forward.
Provide technical direction across projects using open-weight and off-the-shelf LLMs, as well as other advanced ML techniques.
Oversee experimentation, optimization, and data quality to ensure models are accurate, reliable, and production-ready.
Foster creative problem-solving and methodological rigor when challenges require custom solutions beyond standard ML approaches.
Translate complex model outputs into actionable insights for stakeholders, ensuring technical work drives real-world impact
About you:
1+ years leading data science teams; 6+ years in ML or data engineering.
Strong background in applied statistics, model selection, tuning, and evaluation.
Proficient in Python, SQL, and modern ML frameworks (PyTorch, TensorFlow, or JAX).
Experienced in building and deploying production ML and deep learning pipelines.
Familiar with LLMs, embeddings, agentic workflows, and RAG systems.
Comfortable with cloud and DevOps tools (Docker, Kubernetes, Terraform).
Skilled in exploratory data analysis and handling imperfect real-world data.
You'll thrive in a fast-moving environment where priorities evolve quickly and impact is immediate.
Collaborative leader who communicates clearly with technical and nontechnical teams.
Mission-driven, curious about civic and political applications of AI, and fosters a positive team culture.
What we Offer:
Salary: $165,000 - $210,000 annually, commensurate with experience
Benefits: Competitive medical, dental, and health coverage
Work Environment: Remote-first, with offices and regular meetups in NYC and DC (primarily East Coast hours)
Culture: Fast-moving, collaborative team doing innovative work with real-world impact
Growth: Opportunities to learn new skills, take on challenges, and shape meaningful projects
Inclusion: We welcome applicants from diverse backgrounds - you don't need to meet every qualification to apply
Eligibility: Candidates must be authorized to work in the U.S.
$37k-48k yearly est. Auto-Apply 27d ago
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Band Saw Operator
Embark Recruiting Solutions
Loom operator job in Columbus, OH
Our client, in ColumbusOH, has an immediate opening for a band saw operator. Requirements: • Successful band saw operators possess attentiveness to detail, steady hands, manual dexterity, and the ability to follow instructions and interpret drawings. The ability to perform accurate measurements and basic arithmetic are also necessary.
• Successful band saw operators possess an understanding of the different types of steel in manufacturing.
• Knowledge of material certificates
• Knowledge of using a grinder and sanding wheels to debur steel parts
• Team player that can work well with others and be self-motivated.
$32k-38k yearly est. 60d+ ago
Machine Learning Platform Lead (Hybrid Work Schedule)
Quorum Software 4.0
Remote loom operator job
Machine Learning Platform Lead
Model of Work: Hybrid
Are you excited by challenges? Do you enjoy working in a fast-paced, international and dynamic environment? Then now is the time to join Quorum Software, a rapidly growing company and industry leader in oil & gas transformation.
Quorum Software is the world's largest provider of digital technology focused solely on business workflows that empower the next evolution of energy. From emerging companies to supermajors, throughout every region of the globe, customers rely on Quorum's proven innovation and unmatched global expertise to streamline business operations and make data-driven decisions that optimize profitability and growth. Our industry-leading solutions are transforming energy companies across the entire value chain, helping visionary leaders evolve their organizations into modern energy companies.
Overview
We're seeking a Machine Learning (ML) Platform Lead to establish Quorum's machine learning capability. This role combines hands-on technical architecture with team building and strategic direction. You'll define how we do ML at Quorum while shipping actual models.
The ideal candidate brings deep experience in both model development and production ML infrastructure. You'll architect our ML platform (model registry, training pipelines, deployment infrastructure, MLOps practices) while hiring and leading an ML team. You'll also establish our data science practice, defining how we identify opportunities, evaluate solutions, and measure impact across our product portfolio.
This role requires someone who can make pragmatic decisions about when ML is necessary versus when simpler solutions suffice. You'll work closely with product teams to translate business needs into technical requirements and guide investment decisions based on clear trade-offs.
Strong communication skills and experience managing stakeholder relationships are essential. You'll coordinate with engineering leaders across multiple product lines and establish the engagement model between ML and product teams.
Responsibilities
Establish and lead Quorum's machine learning capability, defining the overall vision, architecture, and operating model for ML across the organization.
Design and implement the ML platform, including model registry, training and deployment pipelines, and scalable MLOps practices.
Develop and ship production-grade ML models, balancing hands-on technical work with leadership and strategy.
Build and lead a high-performing ML team, including hiring, mentoring, and defining team structure and processes.
Define and grow Quorum's data science practice, setting standards for identifying opportunities, evaluating models, and measuring impact across products.
Collaborate with product and engineering teams to translate business needs into ML solutions and determine when ML is or isn't the right approach.
Drive alignment across product lines, establishing clear engagement models and communication channels between ML, engineering, and product stakeholders.
Make pragmatic, data-driven decisions about technical trade-offs, investment priorities, and platform evolution.
Represent the ML function in cross-functional planning and leadership discussions, ensuring business value and technical excellence remain aligned.
And other duties as assigned.
Requirements
3+ years in machine learning and data science, with significant production ML experience
Proven track record shipping production ML models and maintaining them at scale
Experience architecting ML infrastructure: model registries, training pipelines, deployment systems, monitoring
Strong background bridging model development and production engineering Experience leading technical teams and hiring talent
Ability to translate business problems into pragmatic ML solutions
Hands-on experience with at least one cloud ML platform Databricks, Azure ML, AWS SageMaker, or GCP Vertex AI
Proficiency with Python and ML frameworks TensorFlow, PyTorch, scikit-learn)
Comfortable with MLOps practices: versioning, automated retraining, production monitoring
Experience with exploratory data analysis, feature engineering, and model experimentation
Preferred Skills
Experience establishing data science practices and teams from scratch
Experience defining when to use custom models vs traditional algorithms vs LLM-based solutions
Background in time series forecasting and anomaly detection
Familiarity with oil and gas operations or industrial IoT domains Experience with predictive maintenance and equipment reliability models Knowledge of production optimization and operational efficiency use cases Experience with LLM fine-tuning and evaluation
Knowledge of RAG architectures and vector databases
Experience with Databricks, Unity Catalog, or similar platforms Background in feature engineering and data pipeline development Expertise in A/B testing and model performance evaluation
Experience with cost optimization for ML workloads
Familiarity with both traditional ML and deep learning approaches
Additional Details
Background Check: The successful candidate will need to successfully complete the following clearances: Criminal History Check, Education Verification, Employment Verification, Driver's License Verification and passport/ID validation.
Visa Sponsorship: Employment eligibility to work with Quorum Software in the United States or Canada (wherever the successful candidate is currently located) is required as the company will not pursue visa sponsorship for this position. The successful candidate will be required to ensure they maintain and renew any visas or permits that grant employment eligibility where applicable.
About Quorum Software
Quorum Software connects people and information across the energy value chain. Twenty years ago, we built the first software for gas plant accountants. Pipeline operators came next, followed by land administrators, pumpers, and planners. Since 1998, Quorum has helped thousands of energy workers with business workflows that optimize profitability and growth. Our vision for the future connects the global energy ecosystem through cloud-first software, data standards, and integration. The trusted source of decision-ready data for 1,800+ companies, Quorum Software makes the essential connections that let us work better together in the connected energy workplace. For more information, visit quorumsoftware.com.
Quorum Diversity Statement: At Quorum, we are committed to fostering, cultivating, and preserving a culture of belonging. We want to be the place where a diverse pool of talented people join us, stay with us and do their best work. With a diverse team of employees, we grow and learn better together. The collective sum of the individual differences, life experiences, knowledge, innovation, self-expression, and talent that our employees invest in their work represents not only part of our culture, but our reputation and our achievements. We are fully focused on equity and equality and believe deeply in diversity of race, gender, sexual orientation, age, religion, ethnicity, national origin, ability, neurodiversity and all the other characteristics that make us unique.
Quorum Business Solutions and Quorum Software are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, veteran status, disability, genetic information, or any other basis protected by law.
Those applicants requiring reasonable accommodation to the application and/or interview process should notify a member of the Human Resources Department
Our company uses E-Verify to confirm the employment and eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit
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Recruitment Scam Alert: Quorum Software does not charge fees, request payments, conduct interviews via messaging apps, or request the installation of software at any stage of the recruitment process. All legitimate recruitment activities are conducted exclusively through our official careers website (******************************* and email addresses ending **********************. Any communication that does not originate from these official channels should be considered unauthorized and may be reported to [email protected]