At Angi®, we’ve had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need — and connecting pros with homeowners who have the jobs they want.

Angi at a glance:

• A new homeowner turns to Angi every second
• Our network has 150,000+ skilled pros in 50+ service categories
• 150,000,000+ projects brought to Angi (and counting)

Why join Angi:

Angi® is defining the future of the home services industry, creating an environment where homeowners, service professionals and employees benefit from more jobs done well. 

For homeowners, our platform makes it easier than ever to find a skilled pro for repairs, renovations, and everything in between. For pros, we're a business partner who helps them find the work they want and grow their business. 

We believe home is the most important place on earth, and so we work hard for our homeowners and our pros — making a real impact on families, communities, and livelihoods.

Angi is an amazing place to call home. We can’t wait to welcome you.

About the team

Angi is seeking an exceptional Staff Machine Learning Engineer who can enable our transformation into a world-class online marketplace. The role is in our Data Science and Machine Learning team, tackling challenges such as homeowner-pro matching, search ranking, and using predictive models to optimize our product and consumer experience. This is a technical leadership role where you will apply state-of-the-art machine learning and AI techniques such as LLMs and neural rankers to both structured and unstructured data. In addition to developing models, we’re also looking for someone who can deploy them at large scale with low latencies to serve our customers dynamically.

What you’ll do

• Model Development & Data Strategy: Lead development of machine learning models and algorithms to improve our search ranking and how we match consumers with pros. Success in these areas will impact user experience & engagement, retention, and conversion rates - critical metrics for business success.
• Model Deployment & MLOps: Implement robust MLOps practices to ensure the seamless deployment and scalability of machine learning models. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments.
• Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, data scientists, product managers, and designers to build scalable and high-impact machine learning systems. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services.
• Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems.
• Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced machine learning techniques from both industry and academia.

Who you are

• You have a Master’s or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields).
• You have 7+ years of experience in data science & machine learning, with a focus on real-time ML models, ideally within the tech industry & marketplace environments. 
• You are an expert in machine learning and deep learning, and have a good working knowledge of large language models. 
• You have a proven track record of deploying highly impactful machine learning models into production environments.
• You are proficient in SQL and Python, and have experience with cloud ML solutions.
• You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.

We value diversity

We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.

Compensation & Benefits

• The salary band for this position ranges from $200,000 - $280,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living. 
• This position will be eligible for a competitive year end performance bonus & equity package. 
• Full medical, dental, vision package to fit your needs 
• Flexible vacation policy; work hard and take time when you need it 
• Pet discount plans & retirement plan with company match (401K) 
• The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world 

#LI-Remote
#BI-Remote

Machine Learning Engineer

This role exists to support the business in utilizing Machine Learning applications to drive additional value for our customers by feeding into the delivery of strategic data science solutions whilst setting up resilient and future-proof ML infrastructure and engineering foundations.

• Designing and developing our ML Operations (MLOps) infrastructure and practices to support the effective transition of machine learning models and PoCs into production in a cost and operationally efficient manner.
• Monitoring, and maintaining the health of new and existing ML models post deployment; Working with business stakeholders to proactively raise awareness of any risks to the model(s) outputs and/or their interpretation, and usability. 
• Implementing modern code development and MLOps strategies, in collaboration with Data Science and Data Engineering to support the proactive identification, targeting and resolution of any ML model(s) performance issues across their entire lifecycle.
• Developing operating procedures, work instructions and high-level designs of ML pipelines and architectures to support the effective documentation of our work.
• Working with third party partners and software providers to improve, implement and/or support the move to production of novel Machine Learning solutions. 
• Raising awareness of best practices for MLOps; collaborating and knowledge sharing with individuals across the data and software teams, and wider business.
• Collaborating with Data Science, Data Engineering and Software Engineering teams to drive cross-function visibility and reduction of technical debt across the teams.
• Designing and implementing ML infrastructure to support the deployment and monitoring of ML models in production in an efficient and cost-effective manner.
• Developing an MLOps strategy aligned to best practice and existing DevOps practices in Gymshark.
• Developing a strong knowledge of all data sources and maintaining relations with data users/processors across the business.

Essential:

• Extensive experience and expertise in Python. 
• Proven experience in modern code development practices and implementation of MLOps strategies in the cloud to drive operational and infrastructure cost efficiencies.
• Hands on experience designing, building, and maintaining ML infrastructure and taking ML models to production.
• Working knowledge of CI/CD practices.
• Strong stakeholder management skills: working collaboratively with Data Science, DevOps, Data and Software Engineering teams.
• Demonstrable experience of critical thinking, communication and problem-solving ability, and stakeholder management.
• Coaching junior engineers to support their technical skills development.
• Able to separate BAU from core objectives.
• Demonstrate delivery under pressure and to deadline. 

Preferred:

• Experience productionising recommender engines and ensemble ML in Google Cloud
• Experience or exposure to managing ML Infrastructure costs and operational reliability in the cloud.
• Willingness to learn new tools and techniques; proactively keeping up to date with latest thinking and practices in the data science space.
• Experience working in an e-commerce/retail market would be beneficial. 
• Embrace change with a positive outlook.  
• Confident to challenge, and receptive to being challenged. 
• The ability to thrive in a fast-paced environment.

Join Our Global Team: We invite you to apply for the position at RE Partners. Join us in shaping the future of business technology consulting and transforming the way organizations thrive in a digital world. As a diverse, woman-owned global business, we pride ourselves on keeping talent happy – our 7% attrition rate speaks volumes. Bring your talented friends along and earn a referral bonus

Equal Opportunity Employer: We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.

This role is for one of the Weekday's clients

Min Experience: 6 years

Location: Remote (India)

JobType: full-time

As the Machine Learning Operations Manager, you will oversee the end-to-end ML lifecycle — from model training and deployment to monitoring and optimization. You will lead a small, high-performing team of engineers while remaining hands-on in building scalable, reliable, and efficient ML infrastructure. This role combines strategic leadership with deep technical expertise to ensure smooth collaboration between research, engineering, and operations teams.

Requirements

Key Responsibilities:

• End-to-End ML Lifecycle: Manage training infrastructure, experiment tracking, deployment, and continuous optimization.
• Collaboration with Researchers: Partner with research teams to streamline training, evaluation, and fine-tuning workflows.
• Team Leadership: Mentor and guide a small team of ML engineers (3–4) while contributing as an individual contributor.
• Performance Optimization: Improve latency, throughput, and cost efficiency; ensure robust packaging and runtime reliability.
• Automation & Reliability: Develop systems for CI/CD, versioning, rollback, A/B testing, monitoring, and alerting.
• Infrastructure Management: Maintain scalable, secure, and compliant AI environments across training and inference stages.
• Cloud & AI Integration: Collaborate with cloud providers (AWS, GCP, Azure) and AI platforms to enhance tooling and optimize costs.
• Cross-Functional Collaboration: Support GenAI and AI-driven projects across teams beyond core MLOps responsibilities.
• Architecture & Roadmap: Contribute to architectural planning, documentation, and the continuous evolution of the ML stack.
• Best Practices: Promote automation, MLOps standards, and operational excellence throughout the ML lifecycle.

Requirements:

• 5+ years of hands-on experience in MLOps or ML/AI Engineering.
• Strong understanding of ML/DL concepts and applied experience in model training and deployment infrastructure.
• Proficiency with cloud-native ML tools (e.g., GCP Vertex AI, AWS SageMaker, Kubernetes).
• Experience working across both model training and inference systems.
• Familiarity with model optimization methods such as quantization, distillation, TensorRT, or FasterTransformer.
• Demonstrated ability to lead complex technical projects independently.
• Excellent communication and collaboration skills with a cross-functional mindset.
• Ownership-oriented approach with comfort in driving clarity in ambiguous situations.

Skills:
MLOps, ML Engineering, Machine Learning Infrastructure, Model Deployment, Model Monitoring, CI/CD, Vertex AI, AWS SageMaker, GCP AI Platform, Kubernetes, Docker, MLflow, Kubeflow.

About the company

At Weekday (backed by YC; also Product Hunt #1 product of the day), we are building the next frontier in hiring. We have built the largest database of white collar talent in India and have built outreach tools on top of it to generate highest response rates.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

Mercor is partnering with a leading AI lab to source experienced photographers for a short-term creative project. This is a unique opportunity for visual creatives to apply their expertise in a highly innovative, research-driven context. Candidates with recent photography experience, strong written communication skills, and interest in experimental visual formats are especially encouraged to express interest. We are looking to hire many photographers for this project!

• Capture and deliver original, high-resolution photographs aligned with provided guidelines
• Adjust lighting, composition, and framing for consistency across image sets
• Work with flexible style prompts that may include creative or atypical visual instructions
• Upload and tag image files using a standardized format
• Write clear and concise annotations describing the visual content, context, and style of each image

Qualifications

• Have access to a DSLR or equivalent camera and tripod (phone does not count)
• Experience with capturing high quality photography, whether in a professional, freelance or hobby capacity
• Currently attending or recently graduated from a college or university in the United States

Requirements

• Remote and asynchronous — control your own schedule
• Expected commitment: project-based, ~20 hours/ week
• May be extended based on output quality and interest

Benefits

• ~$60/hour (effective rate, paid per task completion and based on quality of output)
• You’ll be classified as an independent contractor

Company Description

• Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations
• Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Role Overview

As the Quantitative Research Team Lead, you will head a team of quants and researchers dedicated to developing trading strategies, improving alpha models, and optimizing execution. This role is both hands-on research and strategic leadership: you will drive model development, oversee research pipelines, and mentor team members while shaping Apexver’s research roadmap.

You will partner with traders, engineers, and data scientists to push the boundaries of what’s possible in high-frequency and systematic trading.

 

Key Responsibilities

    • Leadership & Strategy

        ◦ Lead, mentor, and grow a team of quantitative researchers.

        ◦ Define research priorities, align with trading and technology strategy, and ensure results deliver measurable alpha.

        ◦ Instill best practices for model development, testing, and deployment.

    • Research & Innovation

        ◦ Develop and refine alpha models, statistical arbitrage signals, and systematic trading strategies.

        ◦ Explore large-scale datasets to identify patterns, anomalies, and predictive signals.

        ◦ Partner with engineers to translate research into robust, production-ready systems.

    • Collaboration & Execution

        ◦ Work closely with traders and risk managers to integrate models into execution pipelines.

        ◦ Collaborate with infrastructure teams to optimize simulation environments, backtesting frameworks, and data feeds.

        ◦ Balance short-term opportunities with long-term research initiatives.

 

Qualifications

Required:

    • 7+ years of experience in quantitative research / systematic trading, with at least 2+ years in a leadership capacity.

    • Advanced degree (PhD strongly preferred, MSc acceptable) in Mathematics, Physics, Computer Science, Statistics, or related quantitative discipline.

    • Deep experience with time-series analysis, probability, statistics, and machine learning methods.

    • Strong programming skills in Python (for research) and familiarity with C++ (for production alignment).

    • Proven track record of delivering profitable trading strategies or alpha models.

    • Strong leadership, communication, and ability to align a multi-disciplinary team.

Nice to Have:

    • Background in high-frequency trading (HFT) or market-making.

    • Expertise in market microstructure, execution algorithms, or exchange connectivity.

    • Experience managing petabyte-scale datasets and distributed research pipelines.

    • Comfort with risk management frameworks and capital allocation.

 

Why Join Apexver?

    • Compensation & upside: €180k base salary + up to 100% performance bonus.

    • Impact: Shape the research direction of a fast-growing proprietary trading firm.

    • Collaboration: Work alongside elite engineers and traders on high-stakes challenges.

    • Innovation: Freedom to test ideas quickly, deploy models, and iterate in production.

    • Culture: Flat, collaborative, and meritocratic environment where best ideas win.

 

Application

If you are excited to lead a world-class research team, love solving problems where milliseconds and insights matter, and want to directly impact the future of Apexver’s trading business — we’d love to talk to you.

 

About the TeamThe People Programs team at OpenAI plays a pivotal role in creating an environment where every employee can thrive, grow, and contribute to our mission of ensuring that AGI benefits all of humanity. This expanding team develops and executes human-first strategies and programs that support our rapid growth, unique culture, and innovative spirit.Our Coaching, Learning & Development team manages programs ranging from new employee onboarding, manager development, and learning systems used across OpenAI.About the Role We’re looking for a Learning & Development Enablement Program Manager to build the systems, tools, and processes that power learning at OpenAI. This role focuses on enablement—designing the infrastructure and mechanisms that allow L&D programs to scale effectively across the company. You’ll help ensure our learning experiences are not only impactful but also repeatable, measurable, and sustainable.You’ll be a strong individual contributor who partners across the People team and business functions to make learning accessible, efficient, and engaging. You’ll architect scalable workflows, operationalize learning systems like our LMS (Sana), and create toolkits that empower others to deliver development programs with excellence. This role reports to the Head of Learning & Development and collaborates closely with L&D peers focused on onboarding, manager development, and career growth.Your ResponsibilitiesL&D Systems & Infrastructure: Design, implement, and maintain the core enablement infrastructure that supports OpenAI’s learning programs, including our learning management system (Sana).Toolkits & Playbooks: Develop templates, resources, and operational processes that enable consistent delivery and measurement of learning programs across teams.Program Enablement: Partner with other L&D team members to build scalable systems for onboarding, manager development, and team interventions—ensuring they run efficiently and can be replicated across orgs.Data & Insights: Build reporting and feedback loops to measure program reach, engagement, and impact; use data to drive improvements and inform strategy.Stakeholder Enablement: Empower People partners, facilitators, and business leaders with the right tools and training to deliver learning experiences confidently and consistently.Operational Excellence: Manage the day-to-day hygiene and optimization of learning operations—permissions, dashboards, content governance, and internal support triage.Cross-functional Collaboration: Work with People Ops, HRBPs, and business leaders to understand needs, streamline learning requests, and improve employee access to development opportunities.What We’re Looking For7+ years of experience in learning operations, enablement, or program management in fast-paced environments.Proven ability to design scalable learning systems and processes across global organizations.Strong project management and stakeholder communication skills.Experience managing LMS platforms (ideally Sana or similar) and building automated or data-informed workflows.Analytical mindset with the ability to translate metrics into actionable insights.Comfortable balancing strategy with hands-on execution—no task is too small when it comes to improving how people learn.A collaborative spirit and a passion for building a learning culture that supports growth and inclusion.Workplace & LocationThis role is based in our San Francisco office and we aren’t considering remote applications at this time. We offer relocation support to new employees, and we use a hybrid work model: three days in the office per week with optional work from home on Thursdays and Fridays.Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, a private outdoor space for working in the sun or socializing, nap rooms, private bike storage, and more.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. eClinical Solutions is committed to driving innovation in clinical trials through a better approach to data management and data analytics. We use the eClinical Solutions technology platform, elluminate, throughout the data management process to accelerate timelines for our clients and automate manual processes. We believe in a more agile approach to data management using our core technology elluminate - enabling our life sciences clients to proactively manage their clinical programs and make decisions.

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market, and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 3,600+ associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world.   The Commercial Sales Analyst is a key contributor to the US Sales Team, focused on driving actionable insights and strategic support for SharkNinja’s retail partnerships across Midwest channels. The ideal Commercial Sales Analyst will have a strong understanding of retail sales dynamics, category management, and promotional effectiveness. This is a Commercially focused Sales Analyst that supports sales growth through deep understanding of retailer performance, consumer behavior, and competitive trends. In this role you will be responsible for crafting compelling sell-in stories and will serve as an expert on trends and competitors. A strong candidate for this position is someone with an entrepreneurial spirit, who has a curiosity mindset to dive beyond what the data shows.

Who We ArePattern Data is an AI-powered platform purpose-built for the unique complexities of mass tort litigation, settlement analytics, and claims processing. We automate critical processes like case analysis, documentation, and valuation, leading to faster, more accurate outcomes that dynamically adapt to evolving settlement criteria. Our platform replaces manual inefficiencies with data-driven decision-making, empowering firms to scale operations, reduce costs, and secure stronger results in higher-volume litigations. At Pattern, our team is built on a foundation of collaborative ownership, visionary problem-solving, customer-centric solutions, and authenticity. We’re looking for a Sales Development Representative to join our growing team.What You’ll DoAs a Sales Development Representative at Pattern Data, you will play a dual role – helping drive new business with mass tort law firms while building the operational foundation that keeps our sales engine running smoothly. This is a highly visible, hands-on opportunity to develop into a full-cycle Account Executive as the company scales.Sales Execution (~70%)Own and manage a book of business focused on mass tort firms, consistently driving adoption, renewals, and revenue growth.

Job Description: We are looking for a talented individual to join our team. The ideal candidate will have experience in the relevant field and a passion for innovation. Responsibilities include collaborating with team members, managing projects, and contributing to the overall success of the organization. Qualifications: - Bachelor's degree in a related field. - 3+ years of experience in a similar role. - Strong communication and organizational skills. If you are interested in this opportunity, please apply through our website.