Oddin.gg

Recruitment

• Be a headhunting pro — actively source and engage hidden talent on LinkedIn, GitHub, and in global tech communities.
• Build long-term relationships with top engineers and innovators.
• Own the full recruitment journey — from first message to signed offer.
• Partner with technical leaders to shape global hiring strategies that scale.
• Deliver a fast, seamless, human experience every step of the way.

Tech Recruiter

Risk

• Working with BI tools
• Profiling bettors
• Monitoring suspicious bets
• Ensuring the integrity of matches
• Proactive communication with clients
• Working closely with the trading team
• Creating simple ad-hoc analysis and reports

Risk Analyst

Sales

• Build and maintain the sales organization structure for a new business vertical.
• Develop and implement a comprehensive sales framework, including lead generation, sales narratives, pipeline management, cross-selling, and upselling.
• Lead, mentor, and develop the sales team to achieve company targets.
• Act as the primary advocate for partners' needs and feedback with internal teams.
• Drive revenue by meeting or exceeding sales targets.
• Work with industry partners to strengthen the company's position as a thought leader.
• Oversee contract negotiations and accelerate customer adoption.
• Build and maintain long-term strategic relationships with key accounts.
• Collaborate with product and trading teams to improve existing offerings and develop new solutions based on market demand.
• Identify and pursue new business synergies within the broader industry ecosystem.

Head of Sales

Machine Learning Engineer

• Design, develop, and optimize video generation and editing models using diffusion techniques, focusing on consistency, realism, and style
• Build scalable pipelines for training and deploying video models
• Work closely with other teams on large-scale video datasets, including human motion, gestures, facial expressions, and scene context
• Experiment with cutting-edge diffusion architectures for controllable and high-quality video synthesis
• Define robust validation strategies and implement custom evaluation metrics comparing synthetic and real footage
• Contribute to foundational MLOps practices and infrastructure: experiment tracking, CI/CD, deployment, monitoring, and versioning
• Help build infrastructure for experiment tracking, reproducibility, distributed training, model serving, and production deployment
• Hands-on across the full ML development cycle, from research implementation to production monitoring

ML Engineer, Video Generation

Research Scientist

• Design, develop, and optimize AI video generation models using diffusion techniques, focusing on consistency, realism, and style
• Develop and implement state-of-the-art algorithms for generating video content
• Work closely with other teams on large-scale video datasets including human motion, gestures, facial expressions, and scene context
• Experiment with diffusion architectures for controllable and high-quality video synthesis
• Define validation strategies and implement custom evaluation metrics comparing synthetic vs. real gameplay
• Stay up-to-date with relevant literature and align findings with product roadmap

Research Scientist, Real-Time DiT Video Models

• Proactively source and engage passive candidates through various channels including LinkedIn - Recruiter, GitHub, and tech communities
• Build and maintain a pipeline of qualified candidates for current and future roles
• Manage the full recruitment cycle from initial outreach to offer negotiation, ensuring a smooth and positive candidate experience
• Schedule and manage complex interview calendars, coordinating communication between candidates and hiring managers
• Partner with hiring managers and technical leaders to understand hiring needs and develop recruitment strategies
• Adapt quickly to changing priorities and contribute to the development and automation of recruitment processes to support scale-up growth

Recruiter

Human Resources

• Provide expert guidance to business units on HR policies, practices, and people-related matters (e.g., advising managers on probation period decisions, contract changes, or policy interpretation).
• Partner with business leaders to design and implement HR strategies aligned with business goals (e.g., supporting organizational restructuring, workforce planning, or succession planning initiatives).
• Analyze HR metrics and workforce data, identify trends, and provide actionable, data-driven insights (e.g., monitoring turnover rates, diversity, and recommending improvement measures).
• Lead employee engagement initiatives, including satisfaction surveys, and monitor progress on engagement action plans (e.g., running quarterly surveys, analyzing results, and co-creating action plans with leaders). Measuring eNPS.
• Attend regular 1:1s and team meetings with business leaders to ensure strong alignment and proactive support (e.g., joining monthly team meetings to address people topics and schedule regular 1:1s with key business stakeholders).
• Mitigate people-related challenges, such as disciplinary issues, grievances, conflicts, and attrition risks (e.g., coaching managers on handling underperformance or managing conflict resolution between team members).
• Oversee and coordinate performance management cycles, salary reviews, and goal-setting processes (e.g., facilitating annual review cycles, providing salary benchmarking data, and ensuring clear, measurable team objectives).

HR Business Partner

• Organize and deliver onboarding sessions for new employees.
• Prepare and manage employment and freelance contracts.
• Handle employee lifecycle processes, including contract changes and terminations.
• Maintain and update HR records in compliance with data protection regulations.
• Support the review and refinement of HR administrative processes.
• Help align HR processes across international entities.
• Provide HR administrative support across multiple entities.
• Work closely with the HR team to ensure consistency and best practices.