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New Grad Machine Learning Jobs in Bakersfield, CA

Conduct Orientations for new students * Assist teachers with problem solving issues with compliance ... or operate machinery * Physical Strength: sedentary work. Sitting most of the time, and ...

Preferred industry experience with machine set-up fundamentals and solid troubleshooting skills ... It brings new patient treatments and therapies to market, giving a cancer survivor the chance to ...

For example: new centerlines, improved cleaning process, improved changeover process, elimination ... Welding, fabrication and machining skills * Electrical skills (NEC, AC & DC circuits, 480V power ...

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New Grad Machine Learning information

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How much do new grad machine learning jobs pay per year?

As of Aug 22, 2026, the average yearly pay for new grad machine learning in Bakersfield, CA is $44,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,600.00 and $47,600.00 per year, depending on experience, location, and employer.

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are popular job titles related to New Grad Machine Learning jobs in Bakersfield, CA?

For New Grad Machine Learning jobs in Bakersfield, CA, the most frequently searched job titles are:

What job categories do people searching New Grad Machine Learning jobs in Bakersfield, CA look for?

The top searched job categories for New Grad Machine Learning jobs in Bakersfield, CA are:

What cities near Bakersfield, CA are hiring for New Grad Machine Learning jobs?

Cities near Bakersfield, CA with the most New Grad Machine Learning job openings:

Product Marketing Director, CTV (Edison)

Moloco

Edison, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

About Moloco

Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for \machine learning company\—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.

Built with AI from day one, Moloco’s planet‑scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI‑powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue‑generating ad businesses that balance user experience and advertiser performance.

Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

The Impact You’ll Be Contributing to Moloco

We are looking for a founding Product Marketing Director, CTV to build Moloco's performance CTV go‑to‑market from the ground up. This is a rare opportunity to shape an entirely new product category, reframing Connected TV as a performance channel for a new generation of advertisers, while sitting at the center of product, sales, and marketing.

As the founding Product Marketing Director for CTV, you'll own the full product marketing motion: from positioning and messaging to sales enablement, launch moments, and the marketing plan that drives awareness and demand. You'll work closely with sales, product, and data science teams to create a continuous feedback loop that accelerates both product development and market adoption. This role requires an entrepreneurial mindset, AI fluency, and a genuine passion for building something new.

The Opportunity Build the market strategy
  • Own all product marketing for Moloco’s performance CTV products end‑to‑end, including market research, ICP development, naming, positioning, and messaging.
  • Develop a holistic marketing plan that drives awareness, credibility, and demand for Moloco’s Performance CTV product, managing the associated budget and coordinating execution with field marketing, campaigns, platforms, and communications teams.
  • Leverage AI tools to test approaches rapidly, optimize based on performance data, and scale what’s working across awareness, demand generation, and conversion.
Develop positioning and messaging
  • Challenge the industry's established perception of CTV as a brand‑only channel by developing the content, proof points, and narratives that position it as a performance driver.
  • Partner with the marketing research team and external partners to identify data‑driven positioning research initiatives, translating findings into clear messaging that establishes performance CTV as a category and Moloco as its leader.
  • Bring positioning to life across web properties, sales enablement, case studies, and other initiatives to ensure consistency and effectiveness.
Plan and execute go‑to‑market initiatives
  • Own the end‑to‑end development and execution of go‑to‑market initiatives to drive awareness, adoption, and growth for Moloco’s performance CTV product.
  • Lead high‑impact programs such as sales enablement, event strategy, partner marketing initiatives, research reports, and customer success stories.
  • Drive website strategy, develop compelling case studies, and orchestrate high‑impact product launch moments.
Partner closely with sales and maximize impact with AI
  • Have strong AI fluency and curiosity leveraging AI tools to accelerate impact. Be a strong product marketing partner with sales in the development of an AI‑first pipeline engine.
  • Build outcome‑driven marketing plans that move the business forward, largely by leveraging AI to test approaches rapidly, optimize based on performance data, and scale what’s working across awareness, demand generation, and conversion.
  • Work iteratively with sales teams and SDRs on pitch development, messaging, and demand tactics to rapidly identify the most effective path to product‑market fit and scale.
  • Develop battlecards, sales narratives, and ABM programs that connect top‑of‑funnel awareness to pipeline and conversion outcomes.
  • Be as comfortable in a sales QBR as you are in a product review.
Create a continuous product feedback loop
  • Serve as the connective tissue between the market and Moloco’s CTV product team, translating customer and market signals into actionable product insights that steer the roadmap.
  • Influence and refine the product roadmap by maintaining a close pulse on buyer needs, competitive dynamics, and emerging CTV trends.
  • Build and maintain cross‑functional credibility as a key partner to Sales, Product, Data Science, and Engineering teams.
Operate with a founder mentality
  • Treat this 0‑to‑1 role with an entrepreneurial mindset: iterate fast, experiment boldly, and learn continuously.
  • Bring both strategic vision and a willingness to get into the details — there is no playbook yet, and you’ll be building it.
  • Share learnings across the broader marketing organization to raise the bar for AI‑first GTM motions across Moloco.
How Do I Know if the Role is Right For Me?
  • 10+ years of product marketing experience, with at least 3 years in a senior or director‑level role at a B2B adtech, martech, or digital media company. You’ve owned the full PMM motion, not just contributed to it.
  • Adtech and CTV fluency: You speak the language of performance advertising: ROAS, incrementality, attribution, audience targeting, and measurement. You’re familiar with both the programmatic and walled garden advertising ecosystem and understand how CTV fits into the broader digital media mix of customers.
  • Proven category creation or repositioning experience: You’ve successfully launched a net‑new product or reframed an existing one for a skeptical audience. You know how to build the proof points, narratives, and content that shift how buyers think, not just what they buy.
  • AI fluency in practice: You don’t just talk about AI, you use it. You actively leverage AI tools to test messaging variations, iterate on content, and build campaigns faster across both product marketing and demand generation. You’re excited to help build an AI‑first GTM motion from scratch and see AI as a competitive advantage, not a shortcut.
  • End‑to‑end GTM execution: You’ve led positioning, naming, launch planning, sales enablement, and content strategy for technical products and you can show the business results that followed.
  • Sales partnership depth: You’ve worked closely with sales teams to build pitches, develop battlecards, and refine messaging based on real feedback.
  • Demand generation and ABM experience: You understand ABM strategy and know how to partner with other marketing teams to execute it. This includes segmenting ICPs in a new market, developing target accounts, and partnering how to break through to them.
  • Builder mentality: You’ve operated in early‑stage or 0‑to‑1 environments, whether at a startup or within a new business line at a larger company. You take ownership over outcomes, move quickly in ambiguity, and don’t wait for a playbook.
  • Cross‑functional credibility: You build genuine partnerships with Product, Data Science, Engineering, and Sales and can translate technical complexity into narratives that resonate with both buyers and internal stakeholders.
Compensation & Benefits

U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan with company match, short‑term and long‑term disability coverage, basic life insurance, and well‑being benefits and perks. U.S.-based employees also receive up to 12 scheduled paid holidays per calendar year and one Thrive Day off per quarter. Additionally, all employees have Flexible Time Off (FTO).

The successful candidate may be eligible for a bonus and equity awards. Eligibility and amounts are determined by performance and the terms of the applicable plans.

The location for this role is listed above. For base pay range purposes, location‑based compensation is grouped into the following regions. Your region is determined by your assigned work location.

  • Region A: Menlo Park Office, New York Office, SF Bay Area, New York Metro Area
  • Region B: Seattle Office, Seattle, Los Angeles/Orange County, San Diego, Austin, Boston, Washington DC Metro Area, Miami
  • Region C: All other U.S. locations

Salary Ranges:

  • Region A: $224,000 — $309,120 USD
  • Region B: $212,800 — $293,664 USD
  • Region C: $201,600 — $278,208 USD
Moloco Thrive: Benefits and Well-Being

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.

Moloco Values
  • Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each