Job Closed
This listing is no longer active.
Machine Learning Engineer, Entry
Location
California + 1 moreAll locations: California | New York
Posted
15 days ago
Salary
$124K - $186K / year
Seniority
Senior
Job Description
Machine Learning Engineer, Entry
Paramount
• Own the implementation of features for JBI (Jump Back In) and YNW (Your Next Watch) • Use Qdrant to find high-relevance candidates for re-entry carousels based on session history and global trends • Use MLFlow to manage, track, and deploy experiments, ensuring a high bar for reproducibility • Develop and serve models in GCP using TensorFlow/PyTorch, incorporating Post-training RL for reward-based optimization • Participate in design reviews to ensure your components share the same high-reliability standards as the rest of the pod • Build the logic that makes the app feel personalized even for users we know very little about • Optimize for the 'Play' button—the ultimate signal of user commitment
Job Requirements
- 3+ years in MLE
- Experience with GCP and MLFlow
- Proficiency in TensorFlow/PyTorch
- Knowledge with Vector DBs
- Proven ability to implement features that solve the 'Cold Start' problem for new users
- Experience managing, tracking, and deploying experiments to ensure a high bar for reproducibility
Benefits
- medical
- dental
- vision
- 401(k) plan
- life insurance coverage
- disability benefits
- tuition assistance program
- PTO
Related Guides
Related Job Pages
More Machine Learning Engineer Jobs
Senior Machine Learning Engineer – AI
RD StationTo empower the heroes and scale-ups that grow the economy
• You will play a key role in the AI/ML strategy for the Operations area. • Develop robust, scalable solutions that enable Marketing, Sales, and Customer Success operations to become even more data-driven. • Build training pipelines for Machine Learning and Deep Learning models. • Implement and maintain robust MLOps pipelines. • Integrate AI models with front-end and back-end applications and operational systems. • Collaborate with Data Engineers. • Monitor model performance in production.
Fraud and Waste Investigator
HumanaLouisville, Kentucky-based Humana is a leading healthcare company that offers a variety of health, wellness, and insurance products and services designed to offer an integrated app
Fraud and Waste Investigator Remote Louisiana time type Full time Humana’s Special Investigations Unit is seeking a Fraud and Waste Investigator to join the Louisiana Medicaid Team. This team of Investigators conducts investigations into allegations of fraud, waste, and abuse involving providers who submit claims to Humana’s Louisiana Medicaid line of business. The Investigators conduct interviews, write investigative reports, analyze medical records and billed claims data, as well as collaborate with Humana’s Program Integrity partners. As a Fraud and Waste Investigator, you will conduct investigations into allegations of fraudulent and abusive practices within Humana's Louisiana Medicaid line of business. You must reside in the state of Louisiana to be considered. Key Role Functions - Collaborate investigations with law enforcement authorities - Assemble evidence and documentation to support successful adjudication, where appropriate - Conduct occasional on-site audits of provider records ensuring appropriateness of billing practices - Prepare investigative and audit reports To thrive in this role, the following attributes and experience would be helpful: - Self-starter and organized - Interview skills and able to conduct a thorough investigation to maintain compliance with Humana and governmental requirements - Able to collaborate with internal and external partners (Law Enforcement, Legal, Compliance) WORK STYLE: Remote/Work at Home (minimal travel, <5%, might be required for meetings, trainings, audits, and/or conferences). MUST RESIDE IN LOUISIANA. WORK HOURS: Typical business hours are Monday-Friday, 8 hours/day, 5 days/week. Required Qualifications - Must reside in Louisiana - 2+ years of fraud investigations and/or auditing experience - Knowledge of healthcare payment methodologies - Strong organizational, interpersonal, and communication skills - Inquisitive nature with ability to analyze data to metrics - Proficient in Microsoft Office - Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications - Associate's degree or higher - Strong clinical experience to include multiple practice areas - Related certification(s) (Clinical Certifications, CPC, CCS, CFE, AHFI) - Understanding of healthcare industry, claims processing and investigative process development - Experience in a corporate environment and understanding of business operations Additional Information Work at Home Requirements • At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested • Satellite, cellular and microwave connection can be used only if approved by leadership • Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. • Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job. • Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $65,000 - $88,600 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
Senior Machine Learning Engineer, Rich Media Experiences
ZillowReimagining real estate to make it easier than ever to move from one home to the next.
• design, build, and operate production-grade machine learning systems that move from early ideas and prototypes into reliable customer-facing services • lead end-to-end machine learning work spanning data, training, evaluation, deployment, observability, and iteration in production • partner closely with applied scientists and software engineers across backend, web, and mobile to integrate modern machine learning techniques into Zillow experiences • improve the quality, latency, reliability, and maintainability of machine learning workflows that support floor plan and rich media products • drive technical decisions in ambiguous problem spaces, especially where structured inference, computer vision, spatial signals, or performance tradeoffs matter • help establish shared patterns, tooling, and best practices that raise the bar for machine learning engineering across the team • mentor peers through strong technical execution, code review, debugging discipline, and thoughtful communication across functions
Machine Learning Engineer
MercorCincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus. Equal Employment Opportunity Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.
Role Description Guide research and engineering teams to close knowledge gaps in data science, AI, and machine learning domains. Surface nuances that distinguish expert-level work from surface-level reasoning. - Design challenging data science and AI tasks rooted in real-world statistical modeling, ML pipelines, data engineering, and software workflows. - Write accurate, well-documented solutions that serve as ground truth. - Evaluate AI agent outputs and data science solutions. - Provide detailed written feedback that captures correctness, efficiency, and reasoning quality. - Develop and refine evaluation frameworks and rubrics for assessing statistical reasoning, ML pipeline design, agentic behavior, and data analysis approaches. - Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications - 3+ years of professional or research experience in data science, machine learning, data engineering, AI systems, or software engineering. - Demonstrated technical expertise in at least one of: statistical modeling, ML modeling, data analysis, programming, LLMs, or agentic workflows. - Demonstrable career progression. - Ability to commit to 40 hours per week during weekdays for the duration of the engagement. - Strong written communication skills and the ability to explain analytical and technical decisions clearly. Requirements - Prior experience with data annotation, labeling, evaluation, or human feedback collection is a strong plus. - Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks is a plus. Benefits - W-2 employment with Cincinnatus LLC. - Paid weekly. Application Process - Upload resume. - AI interview based on your resume. - Submit form. Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome - For any help or support, reach out to: support@mercor.com



